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sitar (version 1.0.6)

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

1.0.6

License

GPL (>= 2)

Maintainer

Tim Cole

Last Published

May 5th, 2016

Functions in sitar (1.0.6)

Invert an expression defining a data transformation

Extract SITAR object data

SITAR (SuperImposition by Translation And Rotation) growth curve analysis

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

Identify outliers with abnormal velocity in growth curves

Plot with two y axes

Plot multiple growth curves to identify outliers

UK 1990 growth reference

Create summary of SITAR model

Create cubic smoothing spline from data

print.summary.sitar

Print summary of SITAR model

Ways to compare SITAR models for fit

Plot multiple growth curves

Print SITAR model

Serial heights measured in 12 girls

Fit SITAR growth curve model

getCovariate.sitar

Extract Covariate from a SITAR object

getVarCov.sitar

Extract variance-covariance matrix for SITAR models

Plot SITAR model

Predict SITAR model

Compare Likelihoods of Fitted SITAR Objects

The WHO 2006 growth standard

LMS conversion to and from z-scores

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

Estimate LMS curves from tabulated growth reference centiles

Recalibrate x, y data using SITAR random effects

Sample from SITAR dataset

Adjust x and y variables for SITAR random effects

UK-WHO growth reference including preterm

Express z-scores as centile character strings for plotting

Plot and zap velocity outliers in growth curves