R Observatory: Metrics for misaem version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

misaem

1.1.0Package record

Linear Regression and Logistic Regression with Missing Covariates

0packages dependsuggested by 1

35.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Julie JosseCRAN page ↗GitHub ↗Issues ↗

Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and prediction, using EM-type algorithms. Jiang W., Josse J., Lavielle M., TraumaBase Group (2020) doi:10.1016/j.csda.2019.106907.

Changes in 1.1.0

A release improving stability and speed:

Vectorization of the function miss.glm.fit
Improve the stability of miss.glm.fit by catching infinity ratio
Catch some convergence issues of miss.glm.fit and raise appropriate error
Allow the use of regularization in the logistic regression, by using glmnet package

From NEWS.md in the release

Install

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

install.packages("misaem", 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("julierennes/misaem")

Development version from julierennes/misaem. 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-misaem

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-misaem

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-misaem

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: 3.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
WARNING12 OK, 1 WARNING2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.0

READMEYes · 200 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.1.0Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 22
Examples that run: 47%9 run in a plain check · 10 hold no code
Exported functions with examples: 100%
Documented parameters: 95%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Linear regression and logistic regression with missing covariates HTML

How these are measured

Downloads

35.1K

CRAN downloads in the past year

Rank #2,428 · ~96/day · ~2.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.2K30 days

6.7K90 days

35.1K1 year

Compare downloads with other packages →

Also on118 r2u7 autocran107 c2d4u

How downloads are counted

Repository

julierennes/misaem ↗Account: julierennes

2Stars

0Forks

0Open issues

0Open PRs

0Releases

94Commits

4Commit identities

94 commits · Last activity 2025-09-06

Responsiveness

not measured

Stars over time

2025-09-15 · 22026-07-07 · 2

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/julierennes/misaem on 2026-10-21.

Reproducibility and dev environment (1)

data-raw/

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing misaem adds 9 packages (5 with compiled code, 8.2 MB of source tarballs). Heaviest: glmnet 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)

R >= 3.4.0

Imports (7)

mvtnormstatsMASSnormmethodsabind glmnet

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown mice

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

WeightIt

How these are counted

Code & Tests

People & History

People (5)

Julie Josse

Author, Maintainer since 1.0.1 (2021) · added in 1.0.1

Wei Jiang

Author

Imke Mayer

Contributor · added in 1.0.1

Pavlo Mozharovskyi

Contributor · added in 1.0.0

Christophe Muller

Contributor · added in 1.1.0

Previously maintained by Wei Jiang (0.9.0 to 1.0.0).

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.1.0Latest
record
2025-09-11 · current release · diff ↗ ·
removed 1 export
log_reg
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
unarchivedReturned to CRAN
2021-04-12
1.0.1
record
2021-04-12 · diff ↗
archivedRemoved from CRAN
2020-11-29
check problems were not corrected in time and orphaned on 2021-02-26
1.0.0
record
2020-07-05 · diff ↗ ·
removed 3 exports
miss.saem, model_selection, pred_saem

added 4 exports
miss.glm, miss.glm.model.select, miss.lm, miss.lm.model.select
R
R 4.0.0 released · 2020-04-24
0.9.2
record
2019-12-19 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.9.1
record
2019-01-15 · diff ↗
0.9.0
record
2018-12-03

Show 1 earlier eventHide 1 earlier event

R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-12-03
Total releases: 6 / 8 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.4.0
Download size: 35 KB

Appears in task views

Missing Data

Cite

Cite this package

Run in R for the authors' entry:

citation("misaem")

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

It points to 10.1016/j.csda.2019.106907.

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 misaem version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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