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bsitar  

Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis
View on CRAN: Click here


Download and install bsitar package within the R console
Install from CRAN:
install.packages("bsitar")

Install from Github:
library("remotes")
install_github("cran/bsitar")

Install by package version:
library("remotes")
install_version("bsitar", "0.2.1")



Attach the package and use:
library("bsitar")
Maintained by
Satpal Sandhu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-15
Latest Update: 2024-01-25
Description:
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 for details). The non-Bayesian version of the SITAR model can be fit by using an already available R package 'sitar'. While 'sitar' package allows modelling of a single outcome only, the 'bsitar' package offers a great flexibility in fitting models of varying complexities that include joint modelling of multiple outcomes such as height and weight (multivariate model). Also, the 'bsitar' package allows simultaneous analysis of a single outcome separately for sub groups defined by a factor variable such as gender. This is achieved by fitting separate models for each sub group (such as males and females for gender variable). An advantage of such approach is that posterior draws for each sub group are part of a single model object that makes it possible to compare coefficients across groups and test hypotheses. As 'bsitar' package is a front-end to the R package 'brms', it offers an excellent support for post-processing of posterior draws via various functions that are directly available from the 'brms' package. In addition, the 'bsitar' package include various customized functions that allow estimation and visualization growth curves such as distance (increase in size with age) and velocity (change in growth rate as a function of age).
How to cite:
Satpal Sandhu (2023). bsitar: Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis. R package version 0.2.1, https://cran.r-project.org/web/packages/bsitar. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2023-12-15 08:50), 0.1.1 (2024-01-25 14:50)
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Full bsitar package functions and examples
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