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sitar: Super Imposition by Translation and Rotation Growth Curve Analysis

Functions for fitting and plotting SITAR (Super Imposition by Translation And Rotation) growth curve models. SITAR is a shape-invariant model with a regression B-spline mean curve and subject-specific random effects on both the measurement and age scales. The model was first described by Lindstrom (1995) <doi:10.1002/sim.4780141807> and developed as the SITAR method by Cole et al (2010) <doi:10.1093/ije/dyq115>.

Version: 1.4.0
Depends: nlme, R (≥ 3.0.0)
Imports: dplyr, forcats, ggplot2, glue, purrr, rlang, rsample, stats, tibble, tidyr, magrittr
Suggests: knitr, rmarkdown
Published: 2023-06-23
Author: Tim Cole ORCID iD [cre, aut, cph]
Maintainer: Tim Cole <tim.cole at ucl.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/statist7/sitar
NeedsCompilation: no
Materials: README NEWS
CRAN checks: sitar results

Documentation:

Reference manual: sitar.pdf
Vignettes: Fitting models with SITAR
Optimal design for growth reference centiles

Downloads:

Package source: sitar_1.4.0.tar.gz
Windows binaries: r-devel: sitar_1.4.0.zip, r-release: sitar_1.4.0.zip, r-oldrel: sitar_1.4.0.zip
macOS binaries: r-release (arm64): sitar_1.4.0.tgz, r-oldrel (arm64): sitar_1.4.0.tgz, r-release (x86_64): sitar_1.4.0.tgz, r-oldrel (x86_64): sitar_1.4.0.tgz
Old sources: sitar archive

Reverse dependencies:

Reverse imports: bsitar, MonoInc, nlive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sitar to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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