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bayeslongitudinal

0.1.0Package record

Adjust Longitudinal Regression Models Using Bayesian Methodology

0packages depend
3.3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Adjusts longitudinal regression models using Bayesian methodology for covariance structures of composite symmetry (SC), autoregressive ones of order 1 AR (1) and autoregressive moving average of order (1,1) ARMA (1,1).

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Edwin Javier Castillo Carreño <edjcastilloca@unal.edu.co>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("Edwin", "Javier", "Castillo"),
                      family = "Carreño",
                      role = c("aut", "cre"),
                      email = "edjcastilloca@unal.edu.co"),
               person(given = c("Edilberto", "Cepeda"),
                      family = "Cuervo",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 1.7 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
7
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
86%

Downloads

3.3K
CRAN downloads in the past year
Rank #10,109 · ~9/day · ~274/mo
Daily download trend is not available in this view yet.
38430 days
98490 days
3.3K1 year
Compare downloads with other packages →
Also on114 r2u17 autocran46 c2d4u

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing bayeslongitudinal adds 3 packages (1 with compiled code, 1.2 MB of source tarballs). Heaviest: mvtnorm 1.0 MB, LearnBayes 87 KB, coda 73 KB.

Depends (4)
R >= 3.1.0LearnBayesmvtnormMASS
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (2)

Maintainer since 0.1.0 (2017)

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
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.0Latest
    2017-07-25 · current release
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-07-25
Total releases
1 / 9 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.1.0
Bundled data
0.5 KB / 1 file
Download size
6.6 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bayeslongitudinal")

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 bayeslongitudinal version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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