R Observatory: Metrics for bsitar version 0.3.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bsitar

0.3.3

Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis

0packages depend

4.5Kdownloads / year

20.1%test coverage

13/13checks pass

Overview

About

Maintained by Satpal SandhuFirst published 2023-12-155 releasesCRAN page ↗GitHub ↗

The Super Imposition by Translation and Rotation (SITAR) model is a shape-invariant nonlinear mixed effect model that fits a natural cubic spline mean curve to the growth data and aligns individual-specific growth curves to the underlying mean curve via a set of random effects (see Cole, 2010 doi:10.1093/ije/dyq115 for details). The non-Bayesian version of the SITAR model can be fit by using the already available R package 'sitar'. Unlike the 'sitar' package which allows modelling of a single outcome only, the 'bsitar' package offers great flexibility in fitting models of varying complexities, including joint modelling of multiple outcomes such as height and weight (multivariate model). Additionally, the 'bsitar' package allows for the simultaneous analysis of an outcome separately for subgroups defined by a factor variable such as gender. This is achieved by fitting separate models for each subgroup (for example males and females for gender variable). An advantage of this approach is that posterior draws for each subgroup are part of a single model object, making it possible to compare coefficients across subgroups and test hypotheses. Since the 'bsitar' package is a front-end to the R package 'brms', it offers excellent support for post-processing of posterior draws via various functions that are directly available from the 'brms' package. In addition, the 'bsitar' package includes various customized functions that allow for the visualization of distance (increase in size with age) and velocity (change in growth rate as a function of age), as well as the estimation of growth spurt parameters such as age at peak growth velocity and peak growth velocity.

Install

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

install.packages("bsitar", 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("Sandhu-SS/bsitar")

Development version from Sandhu-SS/bsitar. 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-bsitar

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-bsitar

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-bsitar

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 13.7 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.10

20.1%

Coverage · measured lines

96%

Documentation · exports

14

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-04-25
11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 206 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 95%
Return-value docs: 95%
References docs: 17%

Downloads

4.5K

CRAN downloads in the past year

Rank #5,933 · ~12/day · ~378/mo

Releases R versions

Daily download trend is not available in this view yet.

28030 days

1.4K90 days

4.5K1 year

Compare downloads with other packages →

Also on339 r2u57 autocran

Repository

GitHub ↗ sandhu-ss/bsitar

0Stars

0Forks

1Open issues

0Open PRs

5Releases

847Commits

1Contributors

License GPL-2.0 · 847 commits · Last activity 2026-08-11

Releases over time

2025-02-07 · 42026-07-07 · 5

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/sandhu-ss/bsitar on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Show all practices

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

52 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.6

Imports (14)

brms rstan loo dplyr (>= 1.2.0)rlang Rdpack insight (>= 1.4.6)data.table collapse marginaleffects sitar magrittrmethodsutils

LinkingTo (0)

none

Suggests (48)

ggplot2 bayesplot posterior (>= 1.6.1)testthat ggridges jtools (>= 2.3.0)splines2 scales kableExtra (>= 1.4.0)knitr future future.callr (>= 0.10.2)future.apply future.mirai mirai doParallel foreach doFuture fastplyr cheapr dtplyr checkmate installr bayestestR R.utilsparallelMASSMatrixtidyrnlmepurrr forcats patchwork tibble pracma extraDistr bookdown rmarkdown spelling Hmisc growthcleanrbootR.rspgraphicsgrDevicesabind gluestats

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Satpal Sandhu

Author, Maintainer, Copyright holder

Authors (1)

Satpal Sandhu

Author, Maintainer, Copyright holder

Copyright holders (1)

Satpal Sandhu

Author, Maintainer, Copyright holder

Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.3.3Latest
2026-03-25 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.3.2
2025-02-07 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.2.1
2024-03-19 · diff ↗
unarchivedReturned to CRAN
2024-03-19
archivedRemoved from CRAN
2024-03-10
issues were not corrected in time
0.1.1
2024-01-25 · diff ↗
0.1.0
2023-12-15
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-12-15
Total releases: 5 / 3 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.6
Bundled data: 2.4 MB / 3 files
Download size: 3.7 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bsitar")

Format

Sandhu, S. (2026). bsitar: Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis (Version 0.3.3) [Computer software]. https://doi.org/10.32614/CRAN.package.bsitar

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 bsitar version 0.3.3 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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