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sitar (version 1.0.2)

Super Imposition by Translation and Rotation Growth Curve Analysis

Description

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.

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Version

Install

install.packages('sitar')

Monthly Downloads

437

Version

1.0.2

License

GPL (>= 2)

Maintainer

Tim Cole

Last Published

April 21st, 2015

Functions in sitar (1.0.2)

Recalibrate x, y data using SITAR random effects

Plot multiple growth curves

Convert to/from measurement from/to z-score with growth reference

Estimate LMS curves from tabulated growth reference centiles

Create cubic smoothing spline from data

Function call with optional inverse

Serial heights measured in 12 girls

Plot with two y axes

Print SITAR model

Create summary of SITAR model

The WHO 2006 growth standard

Ways to compare SITAR models for fit

Extract SITAR object data

Identify outliers with abnormal velocity in growth curves

Plot and zap velocity outliers in growth curves

LMS conversion to and from z-scores

Update the b fixed effect to minimise the b-c random effect correlation

Sample from SITAR dataset

Plot multiple growth curves to identify outliers

SITAR (SuperImposition by Translation And Rotation) growth curve analysis

Express z-scores as centile character strings for plotting

getVarCov.sitar

Extract variance-covariance matrix for SITAR models

Plot SITAR model

Predict SITAR model

UK-WHO growth reference including preterm

Par args xaxs and yaxs option d

print.summary.sitar

Print summary of SITAR model

Fit SITAR growth curve model

UK 1990 growth reference