R Observatory: Metrics for pan version 2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

pan

2.0Package record

Multiple Imputation for Multivariate Panel or Clustered Data

1packages dependsuggested by 1

728.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jing hua ZhaoCRAN page ↗

It provides functions and examples for maximum likelihood estimation for generalized linear mixed models and Gibbs sampler for multivariate linear mixed models with incomplete data, as described in Schafer JL (1997) "Imputation of missing covariates under a multivariate linear mixed model". Technical report 97-04, Dept. of Statistics, The Pennsylvania State University.

Install

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

install.packages("pan", 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-pan

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-pan

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-pan

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: 2.5 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-04
NOTE11 OK, 2 NOTE2026-06-09
ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08

Show 3 earlier changesHide 3 earlier changes

NOTE11 OK, 2 NOTE2026-05-02
ERROR9 OK, 2 NOTE, 1 ERROR2026-04-25
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0

READMENoVignettesYes · 1 · staticNEWSNoCitation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION

Help pages: 6
Examples that run: 100%2 run in a plain check
Exported functions with examples: 67%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 33%

Vignettes (1)

Imputation of missing covariates under a multivariate linear mixed model PDF

How these are measured

Downloads

728.9K

CRAN downloads in the past year

Rank #439 · ~2K/day · ~60.7K/mo

Releases R versions

Daily download trend is not available in this view yet.

63.5K30 days

187.8K90 days

728.9K1 year

Compare downloads with other packages →

Also on35.8K r2u147 autocran18.5K conda_forge1.2K c2d4u

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing pan adds no packages beyond those that come with R.

Depends (0)

none

Imports (0)

none

LinkingTo (0)

none

Suggests (2)

mitools lme4

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

172indirect

Imports 1

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

mitml

Suggests, most downloaded first

mice

How these are counted

Code & Tests

Datasets

People & History

People (2)

Jing hua Zhao

Maintainer since 0.1 (2003)

Original by Joseph L. Schafer

Author

Listed in earlier versions (4)

Show 4 peopleHide 4 people

Joseph L. Schafer.

no longer listed · 0.1 to 2.13.1

Joseph L. Schafer

no longer listed · 0.4 to 1.9

Schafer

no longer listed · 2.0

Zhao

no longer listed · 2.0

Releases (29)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
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R 4.5.0 released · 2025-04-11
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R 4.4.0 released · 2024-04-24
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R 4.3.0 released · 2023-04-21
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R 4.2.0 released · 2022-04-22
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R 4.1.0 released · 2021-05-18
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R 4.0.0 released · 2020-04-24
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R 3.6.0 released · 2019-04-26
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R 3.5.0 released · 2018-04-23
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R 3.4.0 released · 2017-04-21
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R 3.3.0 released · 2016-05-03
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R 3.2.0 released · 2015-04-16
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R 3.1.0 released · 2014-04-10
3.0.3Latest
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2013-09-27 · current release · diff ↗
3.0.1
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2013-04-16 · diff ↗
R
R 3.0.0 released · 2013-04-03

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2.15.3
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2013-01-07 · diff ↗
2.15.2
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2012-08-06 · diff ↗
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R 2.15.0 released · 2012-03-30
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2012-03-19 · diff ↗
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R 2.14.0 released · 2011-10-31
2.13.1
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2011-04-28 · diff ↗
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R 2.13.0 released · 2011-04-13
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R 2.12.0 released · 2010-10-15
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R 2.11.0 released · 2010-04-22
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R 2.10.0 released · 2009-10-26
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R 2.9.0 released · 2009-04-17
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R 2.8.0 released · 2008-10-20
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R 2.7.0 released · 2008-04-22
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R 2.6.0 released · 2007-10-03
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R 2.5.0 released · 2007-04-24
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R 2.4.0 released · 2006-10-03
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R 2.3.0 released · 2006-04-24
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R 2.2.0 released · 2005-10-06
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R 2.1.0 released · 2005-04-18
2.1.0
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2005-03-23 · diff ↗ ·
added 3 exports
ecme, pan, pan.bd
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R 2.0.0 released · 2004-10-04
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R 1.9.0 released · 2004-04-12
2.0.0
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2004-04-01 · diff ↗
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2004-12-10 · diff ↗
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2004-02-29 · diff ↗
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2003-12-21 · diff ↗
0.1
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2003-11-15
R
R 1.8.0 released · 2003-10-08

Package metadata

First published: 2003-11-15
Total releases: 29 / 23 yrs
License: GPL-3 OSI · relicensed from Unlimited in 1.4
Bundled data: 45 KB / 4 files
Download size: 1.4 MB

Appears in task views

Missing Data Mixed, Multilevel, and Hierarchical Models in R

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pan")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 pan version 2.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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