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fcall

0.1.7Package record

Parse Farm Credit Administration Call Report Data into Tidy Data Frames

0packages depend
2.3Kdownloads / year
96.6%test coverage
13/13flavors OK

Overview

About
Maintained by Michael ThomasCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: Ketchbrook Analytics

Parses financial condition and performance data (Call Reports) for institutions in the United States Farm Credit System. Contains functions for downloading files from the Farm Credit Administration (FCA) Call Report archive website and reading the files into tidy data frame format. The archive website can be found at https://www.fca.gov/bank-oversight/call-report-data-for-download.

Changes in 0.1.7

Bug Fix

  • process_data() no longer prints a note about FCA's 2024 data when it hits an error. The 2024 files in the AWS S3 bucket are now fixed, so the note is out of date. Errors from process_data() are now raised as normal errors instead of being printed (#47).
  • download_data() now fails gracefully, per CRAN policy on packages that use Internet resources. If the data can't be downloaded (e.g., there is no internet connection, the AWS S3 bucket is unavailable, or there is no data for the requested year and month) or unzipped, download_data() prints an informative message and returns FALSE (invisibly) instead of throwing an error. It returns TRUE (invisibly) on success (#47).
  • Examples that download data now only run when an internet connection is available (#47).
  • Unit tests that download data now skip when there is no internet connection, and on CRAN, per CRAN policy on packages that use Internet resources (#47).

Documentation

  • The download_data() documentation now explains that the 2024 RCR7 data files in the AWS S3 bucket differ from FCA's files. Ketchbrook added the rows that FCA's files are missing (#23, #46).

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-10-15
  • ERROR9 OK, 4 ERROR2026-10-08
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-27
Show 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-07-23
  • OK14 OK2026-03-16
  • ERROR13 OK, 1 ERROR2026-03-15
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.7
READMEYes · 343 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 0.1.7Citation fileNoWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages
22
Examples that run
0%6 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.3K
CRAN downloads in the past year
Rank #15,720 · ~6/day · ~196/mo
Daily download trend is not available in this view yet.
32830 days
79090 days
2.3K1 year
Compare downloads with other packages →
Also on124 r2u4 autocran

Repository

3Stars
0Forks
3Open issues
0Open PRs
5Releases
189Commits
4Commit identities
rdatascienceagriculturecredit
189 commits · Last activity 2026-10-09 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
11
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-05-15 · 32026-07-07 · 3
PracticesBeta

11 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/ketchbrookanalytics/fcall on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-09 · The repository has a site deploy workflow

pkgdown site last built 2026-10-09

Reproducibility and dev environment (2)
data-raw/Dev Container
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Show all practicesHide 1 practice
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v4 (2026-10-20)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-10-08
    Pull request it wrote: opened by a project member
    Commits: at least 2 crediting it in the message
Models named in its commits
  • Claude Opus 5.52 commits · Oct 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing fcall adds 23 packages (13 with compiled code, 18 MB of source tarballs). Heaviest: stringi 11 MB, vctrs 1.0 MB, dplyr 902 KB.

Depends (1)
R >= 4.1
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.5 (2025)
Copyright holder, Funder
Releases (3)

Pick two releases to compare their code metrics.

  • 0.1.7Latest
    record
    2026-10-09 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.6
    record
    2025-12-10 · diff ↗
  • 0.1.5
    record
    2025-11-19
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-11-19
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1
Bundled data
7.6 KB / 14 files
Download size
416 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fcall")
Thomas, M., Ketchbrook Analytics, & Millanes, I. (2026). fcall: Parse Farm Credit Administration Call Report Data into Tidy Data Frames (Version 0.1.7) [Computer software]. https://doi.org/10.32614/CRAN.package.fcall

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for fcall version 0.1.7 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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