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longit

0.1.0Package record

High Dimensional Longitudinal Data Analysis Using MCMC

0packages depend
2.5Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

High dimensional longitudinal data analysis with Markov Chain Monte Carlo(MCMC). Currently support mixed effect regression with or without missing observations by considering covariance structures. It provides estimates by missing at random and missing not at random assumptions. In this R package, we present Bayesian approaches that statisticians and clinical researchers can easily use. The functions' methodology is based on the book "Bayesian Approaches in Oncology Using R and OpenBUGS" by Bhattacharjee A (2020) doi:10.1201/9780429329449-14.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from:
  ‘utils’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 2.3 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
14
Examples that run
100%10 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
71%

Downloads

2.5K
CRAN downloads in the past year
Rank #20,286 · ~7/day · ~209/mo
Daily download trend is not available in this view yet.
26430 days
65290 days
2.5K1 year
Compare downloads with other packages →
Also on67 r2u4 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing longit adds 33 packages (17 with compiled code, 28 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2021), Contributor
Author, Contributor
Author, Contributor
Releases (1)
  • 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
  • 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
  • 0.1.0Latest
    2021-04-15 · current release
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-04-15
Total releases
1 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
2.8 KB / 4 files
Download size
13 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("longit")
Bhattacharjee, A., Pawar, A., & Rajbongshi, B. K. (2021). longit: High Dimensional Longitudinal Data Analysis Using MCMC (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.longit

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 longit version 0.1.0 [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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