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:	1.3.0
Depends:	nlme, R (≥ 3.0.0)
Imports:	dplyr, forcats, ggplot2, glue, purrr, rlang, rsample, stats, tibble, tidyr, magrittr
Suggests:	knitr, rmarkdown
Published:	2022-07-20
Author:	Tim Cole [aut, cre]
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_1.3.0.tar.gz
Windows binaries:	r-devel: sitar_1.3.0.zip, r-release: sitar_1.3.0.zip, r-oldrel: sitar_1.3.0.zip
macOS binaries:	r-release (arm64): sitar_1.3.0.tgz, r-oldrel (arm64): sitar_1.3.0.tgz, r-release (x86_64): sitar_1.3.0.tgz, r-oldrel (x86_64): sitar_1.3.0.tgz
Old sources:	sitar archive

Reverse dependencies:

Reverse imports:

MonoInc

Linking:

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