R Observatory: Metrics for lboxcox version 2.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

lboxcox

2.0.1Package record

Implementation of Logistic Box-Cox Regression

0packages depend

2.7Kdownloads / year

76.9%test coverage

12/13flavors OK

Overview

About

Maintained by Li XingCRAN page ↗

Implements a logistic Box-Cox model that adds a shape parameter to a routine logistic regression model to flexibly estimate the shape and strength of the relationship between a binary outcome and a continuous predictor, adjusting for covariates and survey weights. This model is fully described in Xing, L. et al. (2021) doi:10.1002/cjs.11587. This version extends the original 'lboxcox' package (1.1) with numerically stabilized likelihood/gradient calculations, vectorized data preprocessing, and a bootstrap-ensemble estimator.

Install

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

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

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

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-lboxcox

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-lboxcox

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-lboxcox

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

1ERROR12OK

Check messages

ERRORtestsr-oldrel-macos-arm64

Running ‘testthat.R’ [5s/5s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(lboxcox)
  Loading required package: survey
  Loading required package: grid
  Loading required package: Matrix
  Loading required package: survival
  
  Attaching package: 'survey'
  
  The following object is masked from 'package:graphics':
  
      dotchart
  
  > 
  > test_check("lboxcox")
  
   *** caught segfault ***
  address 0x110, cause 'invalid permissions'
  
   *** caught segfault ***
  address 0x110, cause 'invalid permissions'
  
  Traceback:
   1: glm.fit(x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
...[truncated]...
orter, load_helpers = load_helpers, env = env,     stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,     load_package = load_package, parallel = parallel, shuffle = shuffle)
  73: test_dir("testthat", package = package, reporter = reporter,     ..., load_package = "installed")
  74: test_check("lboxcox")
  An irrecoverable exception occurred. R is aborting now ...
  Saving _problems/test-lboxcox-50.R
  [ FAIL 1 | WARN 47 | SKIP 0 | PASS 55 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-lboxcox.R:44:3'): svyglm_train init is the same with and without parallel ──
  Error in `if (lambda == 0) log(myXX) else expm1(lambda * log(myXX))/lambda`: argument is of length zero
  Backtrace:
      ▆
   1. └─lboxcox:::svyglm_train(...) at test-lboxcox.R:44:3
   2.   └─lboxcox:::train_single_svyglm_model(formula, design, best_lambda)
  
  [ FAIL 1 | WARN 47 | SKIP 0 | PASS 55 ]
  Error:
  ! Test failures.
  Execution halted

CRAN check page ↗

Slowest check: 3.7 min · r-release-macos-x86_64

Status changes

ERROR12 OK, 1 ERROR2026-10-05
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-30
ERROR13 OK, 1 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.1

READMEYes · 1,356 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 12 (1 internal)includes a package overview page
Examples that run: no examples
Exported functions with examples: 0%
Documented parameters: 94%
Return-value docs: 100%
Help pages citing references: 8%

Vignettes (1)

Introduction to Logistic Box-Cox Regression with lboxcox

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #15,625 · ~7/day · ~227/mo

Releases R versions

Daily download trend is not available in this view yet.

36230 days

78790 days

2.7K1 year

Compare downloads with other packages →

Also on72 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing lboxcox adds 73 packages (38 with compiled code, 56 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)

R >= 3.5.0survey

Imports (6)

maxLik caret doParallel foreachMASSstats

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (7)

Li Xing

Maintainer since 1.0 (2022), Author

Author

Author

Author

Author · added in 1.2

Shiyu Xu

Author · added in 1.2

Xuekui Zhang

Author

Releases (4)

Pick two releases to compare their code metrics.

2.0.1Latest
record
2026-10-04 · current release · diff ↗ ·
removed 7 exports
LogLikeFun, LogLikeFun_new, ScoreFun, ScoreFun_new, box_cox_new, lbc_train, svyglm_ms

added 7 exports
devr, lbc_train_all, lbc_train_bagging, lbc_train_ms, lboxcox_cv.fit, lboxcox_cv.predict, lboxcox_maxLik_el.predict
·
23 hours in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-03 21:57 to 2026-10-04 20:43 UTC, in 6 readings.
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.2
record
2023-12-16 · diff ↗ ·
added 6 exports
LogLikeFun_new, ScoreFun_new, box_cox_new, lbc_maxlik, lboxcox_maxLik.predict, svyglm_ms
R
R 4.3.0 released · 2023-04-21
1.1
record
2022-08-30 · diff ↗ ·
added 1 export
median_effect
R
R 4.2.0 released · 2022-04-22
1.0
record
2022-01-27
R
R 4.1.0 released · 2021-05-18

Across CRAN, the median accepted release of the past year spent 23 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2022-01-27
Total releases: 4 / 4 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 86 KB / 1 file
Download size: 126 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lboxcox")

Format

Xing, L., Booth, K., Burstyn, I., Gustafson, P., Wang, J., Xu, S., & Zhang, X. (2026). lboxcox: Implementation of Logistic Box-Cox Regression (Version 2.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.lboxcox

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for lboxcox version 2.0.1 [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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