Package 'eFRED' reference manual

Title:	Fetch Data from the Federal Reserve Economic Database
Description:	Interact with the FRED API, <https://fred.stlouisfed.org/docs/api/fred/>, to fetch observations across economic series; find information about different economic sources, releases, series, etc.; conduct searches by series name, attributes, or tags; and determine the latest updates. Includes functions for creating panels of related variables with minimal effort and datasets containing data sources, releases, and popular FRED tags.
Authors:	Chris Mann <[email protected]>
Maintainer:	Chris Mann <[email protected]>
License:	MIT + file LICENSE
Version:	0.1.0
Built:	2025-03-03 02:47:16 UTC
Source:	https://github.com/cran/eFRED

Country Codes

Description

A vector containing ISO country codes used in the Penn World Table.

Usage

countries
countries

Format

Character vector of length 182

Source

Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table", American Economic Review, 105(10), 3150-3182, available for download at https://www.rug.nl/ggdc/productivity/pwt/

Country Codes

Description

A vector containing ISO 2-digit country codes.

Usage

country2
country2

Format

Character vector of length 249

Source

https://en.wikipedia.org/wiki/ISO_3166

Country Codes

Description

A vector containing ISO 3-digit country codes.

Usage

country3
country3

Format

Character vector of length 249

Source

https://en.wikipedia.org/wiki/ISO_3166

Fetch Data Series from FRED

Description

Function that fetches economic data from the FRED based on the series ids.

Usage

fred(
  ...,
  key = NULL,
  all = TRUE,
  info = TRUE,
  realtime_start = NULL,
  realtime_end = NULL,
  long = FALSE
)
fred(
  ...,
  key = NULL,
  all = TRUE,
  info = TRUE,
  realtime_start = NULL,
  realtime_end = NULL,
  long = FALSE
)

Arguments

`...`	character vectors of series ids to search. Any names will be used to label the series in the resulting data.frame
`key`	32 character lower-cased alpha-numeric character string
`all`	logical; should all observations be used? Defaults to `TRUE`. If `FALSE`, only observations existing in all series will be kept.
`info`	logical; should information about each series, such as units and title, be kept? If so, the information will be stored in a data.frame under the attribute `"info"`.
`realtime_start`, `realtime_end`	character date strings of format "YYY-MM-DD" used obtain information that was known during the specified time period. If empty, the latest update of the information is used.
`long`	logical; should the resulting data.frame be long or wide? Defaults to `FALSE` so that a new column is created for each series

Details

The fred function search for series ids from the FRED and returns the values in a data.frame. Unless long=TRUE, a new column will be created for each series. The dates for each observation will be included in the "date" column and will be of class "Date". Each series will be a numeric value.

If a series cannot be found, then it will be skipped and R will issue a warning.

To access ALFRED, or the archived Federal Reserve Economic Data, use the realtime_start and realtime_end arguments to specify a time frame. More details about real time periods can be found at https://fred.stlouisfed.org/docs/api/fred/realtime_period.html.

Value

data.frame

Examples

## Not run: 
api_key <- "abcdefghijklmnopqrstuvwxyz123456"

# Naive Phillips Curve Estimation
df <- fred(p = "CPIAUCSL", u = "u6rate", key=api_key)
head(df)

df$pi  <- log(df$p) - log(c(NA, df$p[2:nrow(df)]))
reg_pc <- lm(pi ~ u, data = df)
summary(reg_pc)

# Different variations of the CPI
cpis <- c("CPIMEDSL", "CPIFABSL", "CPIHOSSL")
names(cpis) <- c("P_Med", "P_Food", "P_House")

df_cpi <- fred(cpis, key=api_key, long=TRUE)
head(df)

## End(Not run)
## Not run: 
api_key <- "abcdefghijklmnopqrstuvwxyz123456"

# Naive Phillips Curve Estimation
df <- fred(p = "CPIAUCSL", u = "u6rate", key=api_key)
head(df)

df$pi  <- log(df$p) - log(c(NA, df$p[2:nrow(df)]))
reg_pc <- lm(pi ~ u, data = df)
summary(reg_pc)

# Different variations of the CPI
cpis <- c("CPIMEDSL", "CPIFABSL", "CPIHOSSL")
names(cpis) <- c("P_Med", "P_Food", "P_House")

df_cpi <- fred(cpis, key=api_key, long=TRUE)
head(df)

## End(Not run)

Fetch Information on a Category in FRED

Description

Each of the functions accept a category ID and return the requested information in a data.frame.

Usage

fred_category(..., key = NULL)

fred_category_children(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)

fred_category_related(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)

fred_category_series(..., key = NULL, args = list())

fred_category_tags(..., key = NULL, args = list())

fred_category_related_tags(..., key = NULL, args = list())
fred_category(..., key = NULL)

fred_category_children(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)

fred_category_related(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)

fred_category_series(..., key = NULL, args = list())

fred_category_tags(..., key = NULL, args = list())

fred_category_related_tags(..., key = NULL, args = list())

Arguments

`...`	character or numeric vectors of a category ID to fetch. Names are ignored.
`key`	32 character lower-cased alpha-numeric character string
`realtime_start`, `realtime_end`	character date strings of format "YYY-MM-DD" used obtain information that was known during the specified time period. If empty, the latest update of the information is used.
`args`	named list of other arguments passed to the API, including "limit", "offset", "sort_order", etc. See `fred_search` for more details on accepted parameters.

Details

Each function returns the following information in a data.frame.

fred_category: Category id, its name, and the id of its parent
fred_category_children: Same as fred_category
fred_category_related: Same as fred_category
fred_category_series: Series id, its title, observations start and end, frequency, units, seasonal adjustment type, popularity, realtime start and end, and when it was last updated
fred_category_tags: Tag name and its group id, popularity of tag, number of series in each tag, when it was created, and other notes
fred_category_related_tags: Same as fred_category_tags

Value

data.frame with entries described in details

Functions

fred_category: get the name and parent_id for a FRED category
fred_category_children: get the category children ids of a given parent_id
fred_category_related: get the categories that are related to a category id
fred_category_series: get all series within a particular category
fred_category_tags: get all tags associated with a particular category
fred_category_related_tags: get all tags related to tags within a particular category

Examples

## Not run: 
api_key <- "abcdefghijklmnopqrstuvwxyz123456"

# What category is the unemployment rate in?
un_cat <- fred_category("UNRATE", key=api_key)

# What other series are in the same category?
other_in_cat <- fred_category_series(un_cat$id, key=api_key)
head(other_in_cat)

## End(Not run)

## Not run: 
api_key <- "abcdefghijklmnopqrstuvwxyz123456"

# What category is the unemployment rate in?
un_cat <- fred_category("UNRATE", key=api_key)

# What other series are in the same category?
other_in_cat <- fred_category_series(un_cat$id, key=api_key)
head(other_in_cat)

## End(Not run)

Fetch and Create a Panel of Data

Description

Function that fetches data series with related codes and places the results into a long data.frame.

Usage

fred_group(
  id,
  groups,
  type = c("prefix", "postfix", "infix"),
  key = NULL,
  name = NULL,
  grp_name = "group",
  realtime_start = NULL,
  realtime_end = NULL
)

fred_state(
  id,
  type = c("prefix", "postfix", "infix"),
  key = NULL,
  name = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)
fred_group(
  id,
  groups,
  type = c("prefix", "postfix", "infix"),
  key = NULL,
  name = NULL,
  grp_name = "group",
  realtime_start = NULL,
  realtime_end = NULL
)

fred_state(
  id,
  type = c("prefix", "postfix", "infix"),
  key = NULL,
  name = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)

Arguments

`id`	character string containing the common series id segment
`groups`	character vector denoting the variation in the series
`type`	how should the group vectors be combined with the id? `"prefix"` places the groups before the `id`, `"postfix"` after the `id`, and use `"infix"` to place the group code between values in `id` (requires `id` to be a length 2 character vector)
`key`	32 character lower-cased alpha-numeric character string
`name`	character string describing the name of the value column. If `NULL`, the `id` will be used.
`grp_name`	character string describing the name of the group column. Defaults to `"group"`.
`realtime_start`, `realtime_end`	character date strings of format "YYY-MM-DD" used obtain information that was known during the specified time period. If empty, the latest update of the information is used.

Details

The fred_group command is convenience function that searches for many different series at once and places them in a panel. This is similar to the fred command except that it can be more convenient when the series are related to each other. For example, the statewide unemployment rates from the Bureau of Labor Statistics have all codes with the format: "<State Abbreviation><UR>". If state abbreviations are located in variable state.abb, then the command fred_group("UR", state.abb, "prefix", key) would search place all unemployment rates into a data.frame.

fred_state is a wrapper around fred_group with the state abbreviations used for groups and with the group column "state".

Value

data.frame

Functions

fred_state: Fetch data across each state

Examples

## Not run: 
api_key <- "abcdefghijklmnopqrstuvwxyz123456"

# Panel of Unemployment Rates Across States
unemploy <- fred_state("UR", key = api_key)
unemploy

# Panel of Constant GDP per Capita by Country
GDP <- fred_group("NYGDPPCAPKD", eFRED::countries, type="postfix",
  key=api_key, name= "gdppc", grp_name="country")
GDP

## End(Not run)

## Not run: 
api_key <- "abcdefghijklmnopqrstuvwxyz123456"

# Panel of Unemployment Rates Across States
unemploy <- fred_state("UR", key = api_key)
unemploy

# Panel of Constant GDP per Capita by Country
GDP <- fred_group("NYGDPPCAPKD", eFRED::countries, type="postfix",
  key=api_key, name= "gdppc", grp_name="country")
GDP

## End(Not run)

Fetch Information on a Release in FRED

Description

Each of the functions accept a release name/number and return the requested information in a data.frame.

Usage

fred_releases(key = NULL, args = list())

fred_releases_dates(key = NULL, args = list())

fred_release(..., key = NULL, args = list())

fred_release_dates(..., key = NULL, args = list())

fred_release_series(..., key = NULL, args = list())

fred_release_sources(..., key = NULL, args = list())

fred_release_tags(..., key = NULL, args = list())

fred_release_related_tags(..., key = NULL, args = list())

fred_release_tables(..., key = NULL, args = list())
fred_releases(key = NULL, args = list())

fred_releases_dates(key = NULL, args = list())

fred_release(..., key = NULL, args = list())

fred_release_dates(..., key = NULL, args = list())

fred_release_series(..., key = NULL, args = list())

fred_release_sources(..., key = NULL, args = list())

fred_release_tags(..., key = NULL, args = list())

fred_release_related_tags(..., key = NULL, args = list())

fred_release_tables(..., key = NULL, args = list())

Arguments

`key`	32 character lower-cased alpha-numeric character string
`args`	named list of other arguments passed to the API, including "limit", "offset", "sort_order", etc. See `fred_search` for more details on accepted parameters.
`...`	character or numeric vectors of release ids to search

Details

Each function returns the following information in a data.frame.

fred_releases: Release id, its name, a url link, whether there is a press release, and realtime start and end dates
fred_releases_dates: Release id, its name, and date of release
fred_release: Release id, its name, a url link, whether there is a press release, and realtime start and end dates
fred_release_dates: Release id and its release date
fred_release_series: Series id, its title, observations start and end, frequency, units, seasonal adjustment type, popularity, realtime start and end, and when it was last updated
fred_release_sources: Source id, name of source, url link, and realtime start and end dates
fred_release_tags: Tag name and its group id, popularity of tag, number of series in each tag, when it was created, and other notes
fred_release_related_tags: Same as fred_release_tags
fred_release_tables: Release, element, parent, and series ids, type, and name

Value

data.frame with entries described in details

Functions

fred_releases: get all releases of economic data
fred_releases_dates: get the dates of all economic releases
fred_release: get information about a particular release
fred_release_dates: get release dates for a particular release
fred_release_series: get all series associated with a particular release
fred_release_sources: get the sources associated with a particular release
fred_release_tags: get all tags associated with a particular release
fred_release_related_tags: get all related tags associated with a particular release
fred_release_tables: get the release tables for a particular release

Search for Series on FRED

Description

Each function receives a character string and returns a data.frame containing information on different series, tags, or related tags of the search.

Usage

fred_search(text, key = NULL, args = list())

fred_search_tags(text, key = NULL, args = list())

fred_search_related_tags(text, key = NULL, args = list())
fred_search(text, key = NULL, args = list())

fred_search_tags(text, key = NULL, args = list())

fred_search_related_tags(text, key = NULL, args = list())

Arguments

`text`	character string used for search. All spaces will automatically be converted appropriately.
`key`	32 character lower-cased alpha-numeric character string
`args`	named list of other arguments passed to the API, including "limit", "offset", "sort_order", etc. See details below.

Details

Search arguments accept any of the following:

search_type: either "full_text" or "series_id" determining whether the description, title, units, and other information are searched or only the id. Defaults to full text.
realtime_start, realtime_end: character string of format "YYYY-MM-DD" determining the real-time period. This is used to find historical series.
limit: integer between 1 and 1000 determining the maximum number of results to return.
offset: Non-negative integer
order_by: One of the following: "search_rank", "series_id", "title", "units", "frequency", "seasonal_adjustment", "realtime_start", "realtime_end", "last_updated", "observation_start", "observation_end", "popularity", or "group_popularity". Default is "search_rank".
sort_order: Either "asc" for ascending or "desc" for descending order.
filter_variable: String to filter the results by.
tag_names: String of tag names separated by semicolons for filtering results.
exclude_tag_names: String of tag names separated by semicolons that should not be included.

These should be included in a list such as args = list(limit = 10, sort_order = "asc"). The results are included in a data.frame with all information about the series, including detailed notes. The results are best viewed in the RStudio Viewer or with the title extracted.

Each function returns the following information in a data.frame.

fred_search: Series id, its title, observations start and end, frequency, units, seasonal adjustment type, popularity, realtime start and end, and when it was last updated
fred_search_tags: Tag name and its group id, popularity of tag, number of series in each tag, when it was created, and other notes
fred_search_related_tags: Same as fred_search_tags

Value

data.frame with entries described in details

Functions

fred_search: obtain series related to search
fred_search_tags: obtain tags related to search
fred_search_related_tags: obtain related tags related to search

Examples

## Not run: 
api_key <- "abcdefghijklmnopqrstuvwxyz123456"

# Searching GDP in China, descending order by "title"
results <- fred_search("GDP China", key=api_key,
  args = list(sort_order="desc", order_by="title"))

# Fetch top 2 series
df <- fred(results$id[1:2])
head(df)

## End(Not run)

## Not run: 
api_key <- "abcdefghijklmnopqrstuvwxyz123456"

# Searching GDP in China, descending order by "title"
results <- fred_search("GDP China", key=api_key,
  args = list(sort_order="desc", order_by="title"))

# Fetch top 2 series
df <- fred(results$id[1:2])
head(df)

## End(Not run)

Fetch Data or Information on a SERIES in FRED

Description

Each of the functions accept a series ID from FRED and return a data.frame with information about the series.

Usage

fred_series(..., key = NULL, realtime_start = NULL, realtime_end = NULL)

fred_series_release(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)

fred_series_categories(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)

fred_series_tags(..., key = NULL, realtime_start = NULL, realtime_end = NULL)

fred_observations(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL,
  all = TRUE
)

fred_series_vintage(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)
fred_series(..., key = NULL, realtime_start = NULL, realtime_end = NULL)

fred_series_release(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)

fred_series_categories(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)

fred_series_tags(..., key = NULL, realtime_start = NULL, realtime_end = NULL)

fred_observations(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL,
  all = TRUE
)

fred_series_vintage(
  ...,
  key = NULL,
  realtime_start = NULL,
  realtime_end = NULL
)

Arguments

`...`	character vectors of series to fetch. If named, then the names are used to identify the series in the result.
`key`	32 character lower-cased alpha-numeric character string
`realtime_start`, `realtime_end`	character date strings of format "YYY-MM-DD" used obtain information that was known during the specified time period. If empty, the latest update of the information is used.
`all`	logical; should all observations be used? Defaults to `TRUE`. If `FALSE`, only observations existing in all series will be kept.

Details

Each function returns the following information in a data.frame.

fred_observations: Date of observation, its value, and the realtime start and end dates
fred_series: Series id, its title, observations start and end, frequency, units, seasonal adjustment type, popularity, realtime start and end, and when it was last updated
fred_series_categories: Category id, its name, and the id of its parent
fred_series_release: Release id, its name, a url link, whether there is a press release, and realtime start and end dates
fred_series_tags: Tag name, its group id, popularity, the number of series that are tagged, when it was created, and any notes about the tag
fred_series_related_tags: Same as fred_series_tags
fred_series_vintage: dates of each vintage
fred_category_related_tags: Same as fred_category_tags

Value

data.frame or list

Functions

fred_series: get information about the series including observation periods, seasonal adjustment, units, title, etc.
fred_series_release: get the release information about the series
fred_series_categories: get the categories into which a series falls
fred_series_tags: get the FRED tags for the series
fred_observations: get the observational data for a series
fred_series_vintage: get the dates in which the data for the series were revised or released. Returns a named list of dates.

Fetch Information on a Data Source in FRED

Description

Each of the functions accept a source number and return the requested information in a data.frame.

Usage

fred_sources(key = NULL, args = list())

fred_source(..., key = NULL, args = list())

fred_source_releases(..., key = NULL, args = list())
fred_sources(key = NULL, args = list())

fred_source(..., key = NULL, args = list())

fred_source_releases(..., key = NULL, args = list())

Arguments

`key`	32 character lower-cased alpha-numeric character string
`args`	named list of other arguments passed to the API, mostly for `fred_source_releases`, including "limit", "offset", "sort_order", etc. See `fred_search` for more details on accepted parameters.
`...`	character or numeric vectors of release ids to search

Details

Each function returns the following information in a data.frame.

fred_sources: Source id, its name, a url link, and realtime start and end dates
fred_source: Same as fred_sources
fred_source_releases: Release id, its name, a url link, whether there is a press release, and realtime start and end dates

Value

data.frame with entries described in details

Functions

fred_sources: get all sources of economic data
fred_source: get information about a particular source
fred_source_releases: get releases by a particular source

Fetch Information on a Tag in FRED

Description

Each of the functions accept a tag name and return the requested information in a data.frame.

Usage

fred_tags(key = NULL, args = list())

fred_related_tags(..., key = NULL, args = list())

fred_tags_series(..., key = NULL, args = list())
fred_tags(key = NULL, args = list())

fred_related_tags(..., key = NULL, args = list())

fred_tags_series(..., key = NULL, args = list())

Arguments

`key`	32 character lower-cased alpha-numeric character string
`args`	named list of other arguments passed to the API, including "limit", "offset", "sort_order", etc. See `fred_search` for more details on accepted parameters.
`...`	character vectors of tag names to search

Details

Each function returns the following information in a data.frame.

fred_tags: Tag name, its group id, popularity, the number of series that are tagged, when it was created, and any notes about the tag
fred_related_tags: Same as fred_tags
fred_tags_series: Series id, its title, observations start and end, frequency, units, seasonal adjustment type, popularity, realtime start and end, and when it was last updated

Value

data.frame with entries described in details

Functions

fred_tags: get the tag names associated with the search parameters
fred_related_tags: get the tags that are related to one or more tag names
fred_tags_series: get the series associated with tags

Fetch Series with Recent Updates

Description

Function that returns a data.frame containing information on series in FRED that were recently updated.

Usage

fred_updates(key = NULL, args = list())
fred_updates(key = NULL, args = list())

Arguments

`key`	32 character lower-cased alpha-numeric character string
`args`	named list of other arguments passed to the API. See details.

Details

Arguments accept any of the following:

realtime_start, realtime_end: character string of format "YYYY-MM-DD" determining the real-time period. This is used to find historical series.
limit: integer between 1 and 1000 determining the maximum number of results to return.
offset: Non-negative integer
filter_value: Either "macro", "regional", or "all" *(the default)* describing the geographic type of the series
start_time, end_time: character string of format "YYYYMMDDHhmm" determining the time range, down to minutes, with which to filter the results

Value

data.frame with values for the series id, its title, start and end date of its observations, its frequency, units, whether it is seasonally adjusted, its popularity, when it was last updated, and the realtime start and end dates

Convert Search Terms to a API Friendly Format

Description

The function replaces spaces from character vectors with "+" and separates search terms with ";". Use whenever search terms are needed in the args list for API calls. It is automatically applied for fred_search and not needed.

Usage

parse_search(...)
parse_search(...)

Arguments

...

character vectors of search terms

Value

character string

Examples

terms <- c("Real GDP", "medical inflation", "Japan")
parse_search(terms, "unemployment")
terms <- c("Real GDP", "medical inflation", "Japan")
parse_search(terms, "unemployment")

Economic Releases

Description

A data.frame containing information on the economic releases in FRED. Information is from January 2021. Use fred_releases for an up-to-date version.

Usage

releases
releases

Format

data.frame with 292 observations and 7 variables:

id: release id
realtime_start, realtime_end: date releases were saved
name: name of the release
press_release: logical value for whether there is an associated press release
link: a url for more data
notes: character string containing information about the release

Source

https://fred.stlouisfed.org/docs/api/fred/releases.html

Set a FRED API Key

Description

Function used to set the default key. If included, then key arguments in FRED API calls are no longer needed. API keys can be requested at https://fred.stlouisfed.org/docs/api/api_key.html.

Usage

set_fred_key(key)
set_fred_key(key)

Arguments

key

32 character lower-cased alpha-numeric character string

Value

NULL

Examples

set_fred_key("abcdefghijklmnopqrstuvwxyz123456")

set_fred_key("abcdefghijklmnopqrstuvwxyz123456")

Sources of Economic Data

Description

A data.frame containing information on the sources of data in FRED. Information is from January 2021. Use fred_sources for an up-to-date version.

Usage

sources
sources

Format

data.frame with 102 observations and 6 variables:

id: source id
realtime_start, realtime_end: date releases were saved
name: name of the source
link: a url that links to the source's website
notes: character string containing information about the source

Source

https://fred.stlouisfed.org/docs/api/fred/sources.html

U.S. State Abbreviations

Description

A vector containing U.S. state abbreviations, including the District of Columbia.

Usage

states
states

Format

Character vector of length 51

Source

https://en.wikipedia.org/wiki/List_of_U.S._state_and_territory_abbreviations

Extended State Abbreviations

Description

A vector containing abbreviations of U.S. states and territories.

Usage

states_extended
states_extended

Format

Character vector of length 51

Source

https://en.wikipedia.org/wiki/List_of_U.S._state_and_territory_abbreviations

Popular Tags

Description

A data.frame containing information on 1000 of the most common tags in FRED. Information is from January 2021. Use fred_tags for an up-to-date version and the ability to refine it further.

Usage

tags
tags

Format

data.frame with 1000 observations and 6 variables:

name: tag name
group_id: name of the group associated with the tag
created: when the tag was created
popularity: integer of the tag's popularity (up to 100)
notes: character string containing information about the source
series_count: number of series associated with the tag

Source

https://fred.stlouisfed.org/docs/api/fred/tags.html

Package 'eFRED'

Help Index

Country Codes

Description

Usage

Format

Source

Country Codes

Description

Usage

Format

Source

Country Codes

Description

Usage

Format

Source

Fetch Data Series from FRED

Description

Usage

Arguments

Details

Value

Examples

Fetch Information on a Category in FRED

Description

Usage

Arguments

Details

Value

Functions

Examples

Fetch and Create a Panel of Data

Description

Usage

Arguments

Details

Value

Functions

Examples

Fetch Information on a Release in FRED

Description

Usage

Arguments

Details

Value

Functions

Search for Series on FRED

Description

Usage

Arguments

Details

Value

Functions

Examples

Fetch Data or Information on a SERIES in FRED

Description

Usage

Arguments

Details

Value

Functions

Fetch Information on a Data Source in FRED

Description

Usage

Arguments

Details

Value

Functions

Fetch Information on a Tag in FRED

Description

Usage

Arguments

Details

Value

Functions

Fetch Series with Recent Updates

Description

Usage

Arguments