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Growth Modelling using a Shape Invariant Model with Random Effects

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gmusim

Functions for fitting growth curves using SIM (Shape Invariant Model) with random effects (Beath, 2007) involved in time independent covariates and computing some public health statistics, such as age at peak velocity (apv), peak velocity (pv) and height (or weight) at peak velocity (ypv). This package is based on R package sitar and SIM model, and the basis of this model is that a population has a common characteristic curve or function, which by shifting and scaling can be made to have the form of any individual curve.

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Growth Modelling using a Shape Invariant Model with Random Effects

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