R Observatory: Metrics for BMisc version 1.4.10

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BMisc

1.4.10Package record

Miscellaneous Functions for Panel Data, Quantiles, and Printing Results

8packages depend

110.2Kdownloads / year

62.0%test coverage

13/13flavors OK

Overview

About

Maintained by Brantly CallawayCRAN page ↗GitHub ↗Website ↗Issues ↗

These are miscellaneous functions for working with panel data, quantiles, and printing results. For panel data, the package includes functions for making a panel data balanced (that is, dropping missing individuals that have missing observations in any time period), converting id numbers to row numbers, and to treat repeated cross sections as panel data under the assumption of rank invariance. For quantiles, there are functions to make distribution functions from a set of data points (this is particularly useful when a distribution function is created in several steps), to combine distribution functions based on some external weights, and to invert distribution functions. Finally, there are several other miscellaneous functions for obtaining weighted means, weighted distribution functions, and weighted quantiles; to generate summary statistics and their differences for two groups; and to add or drop covariates from formulas. Additional utilities support staggered treatment adoption settings, including functions for identifying treatment groups, recovering pre-treatment outcomes and covariate averages, and computing lagged outcomes and first differences in panel data.

Changes in 1.4.10

Smaller footprint and improved performance.
Removed the dplyr and tidyr dependencies. The affected functions are now implemented with data.table, which was already a dependency, leading to a total reduction of ~20 packages (incl. strong recursive deps).
The workhorse panel "getter" functions (get_group(), get_Yit(), check_staggered(), etc.) have also been vectorized, yielding substantial performance improvements. On a simulated 200k row / 20k unit panel dataset, we observe 150-1400x speed gains, combined with an order of magnitude smaller memory allocation(s).
Bug fixes:
check_staggered() no longer (automatically) returns FALSE for panels with any treatment adoption. Previously, this function only returned TRUE when no unit ever changed treatment status.

Show all changes in 1.4.10Hide the rest of the changes in 1.4.10

get_Yit() now returns NA for units that are not observed in period tp. Previously such units contributed nothing to the result, so the returned vector was shorter than the number of rows in the data.
New features:
check_staggered() and check_staggered_inner() gain an optional tname argument. The check compares consecutive rows, so it is only meaningful when a unit's rows are in time order; supplying tname sorts them first. The default (NULL) keeps the previous assumption that the data is already ordered.
Other changes:
get_principal_components() now returns units in sorted id order. This is only a change for data that is not already sorted by id, where it previously used order of first appearance, and it makes the function consistent with the other panel data getters.
get_first_difference() no longer adds a temporary .lag column to a copy of the input data, and now works when passed a data.table.
Fixed silent row misalignment in several vectorized panel getters (get_group(), get_Yit(), get_principal_components(), etc.) when units were not sorted by id; added sort_panel() and set_balanced_panel(), and make_balanced_panel() now preserves its input's class instead of taking a return_data.table argument.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("BMisc", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("bcallaway11/BMisc")

Development version from bcallaway11/BMisc. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bmisc

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-BMisc

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-BMisc

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.0 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02

Show 6 earlier changesHide 6 earlier changes

ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-04-08
ERROR13 OK, 1 ERROR2026-04-07
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.4.10

READMEYes · 213 wordsVignettesNoNEWSYes · 100% structured · mentions 1.4.10Citation fileYes · software entry onlyWebsiteYes · pkgdown

Help pages: 73 (28 internal)includes a package overview page
Examples that run: 98%41 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 58%
Documented parameters: 96%
Return-value docs: 53%
Help pages citing references: 0%

How these are measured

Downloads

110.2K

CRAN downloads in the past year

Rank #1,224 · ~302/day · ~9.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

10K30 days

26.2K90 days

110.2K1 year

Compare downloads with other packages →

Also on1.4K r2u46 autocran5.5K conda_forge115 c2d4u

How downloads are counted

Repository

bcallaway11/bmisc ↗Account: bcallaway11

7Stars

3Forks

0Open issues

1Open PRs

2Releases

191Commits

5Commit identities

191 commits · Last activity 2026-08-22

Responsiveness

How these are sampled

PRs merged (all time): 67%
Median days to close, 50 most recently updated closed issues: 1,124
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2024-12-09 · 72026-07-07 · 7

How these are measured

PracticesBeta

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

Checks run against github.com/bcallaway11/bmisc 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 (3)

README.qmdpkgdown

GitHub Pages site last deployed 2026-08-22

pkgdown site last built 2026-08-21, before release 1.4.10 (2026-08-22)

CRAN release process (2)

cran-comments.mdrevdep/

Research and citation (1)

CITATION.cff

Show all practicesHide 1 practice

Lint, format, editor (2)

lintrRStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-05-21
Named in .Rbuildignore: .claude
Commits: at least 22 crediting it in the message

Models named in its commits

Claude Sonnet 4.618 commits · May 2026
Claude Sonnet 54 commits · Aug 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

8 external dependencies (excludes base and recommended)

Installing BMisc adds 3 packages (3 with compiled code, 8.5 MB of source tarballs). Heaviest: data.table 5.7 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)

R >= 4.1.0

Imports (2)

data.table Rcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (4)

testthat plm tibble caret

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

8direct

3indirect

Imports 8

Depends, Imports or LinkingTo, most downloaded first

did DRDID ptetools contdid qte triplediff cdid fastdid

How these are counted

Code & Tests

People & History

People (2)

Brantly Callaway

Author, Maintainer since 1.0.0 (2017)

Grant McDermott

Contributor · added in 1.4.10

Releases (16)

Pick two releases to compare their code metrics.

1.4.10Latest
record
2026-08-22 · current release · diff ↗ ·
added 2 exports
set_balanced_panel, sort_panel
1.4.9
record
2026-06-11 · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.4.8
record
2025-02-04 · diff ↗ ·
added 19 exports
add_cov_to_formula, block_boot_sample, combine_ecdfs, compare_binary, compare_binary_inner, drop_cov_from_formula, get_list_element, id2rownum, invert_ecdf, lhs_vars, make_balanced_panel, make_dist, rhs_vars, weighted_checkfun, weighted_combine_list, weighted_ecdf, weighted_mean, weighted_quantile, weighted_quantile_inner
1.4.7
record
2025-01-10 · diff ↗ ·
added 10 exports
check_staggered, check_staggered_inner, drop_collinear, get_principal_components, mv_mult, orig2t, orig2t_inner, t2orig, t2orig_inner, time_invariant_to_panel
R
R 4.4.0 released · 2024-04-24
1.4.6
record
2024-03-09 · diff ↗ ·
added 15 exports
element_wise_mult, get_Yi1, get_Yi1_inner, get_YiGmin1, get_YiGmin1_inner, get_Yibar, get_Yibar_inner, get_Yibar_pre, get_Yibar_pre_inner, get_Yit, get_Yit_inner, get_first_difference, get_group, get_group_inner, get_lagYi
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2022-07-11
1.4.5
record
2022-07-11 · diff ↗
archivedRemoved from CRAN
2022-07-09
check problems were not corrected in time , Does not use 'plm' conditionally, and that was for a time uninstallable
R
R 4.2.0 released · 2022-04-22
1.4.4
record
2022-01-26 · diff ↗
1.4.3
record
2021-12-09 · diff ↗ ·
added 3 exports
TorF, multiplier_bootstrap, source_all
R
R 4.1.0 released · 2021-05-18

Show 12 earlier eventsHide 12 earlier events

1.4.2
record
2020-12-18 · diff ↗ ·
added 1 export
panel2cs2
R
R 4.0.0 released · 2020-04-24
1.4.1
record
2020-04-01 · diff ↗ ·
added 2 exports
blockBootSample, getListElement
R
R 3.6.0 released · 2019-04-26
1.3.1
record
2018-08-15 · diff ↗
1.3.0
record
2018-07-17 · diff ↗ ·
added 5 exports
invertEcdf, lhs.vars, rhs, rhs.vars, toformula
R
R 3.5.0 released · 2018-04-23
1.2.0
record
2018-02-27 · diff ↗ ·
added 1 export
subsample
1.1.1
record
2017-11-06 · diff ↗ ·
added 1 export
addCovToFormla
1.0.1
record
2017-06-15 · diff ↗
1.0.0
record
2017-06-14
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-06-14
Total releases: 16 / 9 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Download size: 91 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("BMisc")

The package provides a citation file, so citation() returns the authors' own entry.

The repository also keeps a CITATION.cff.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BMisc version 1.4.10 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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