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sitar (version 1.0.1)

SITAR growth curve analysis

Description

Functions for fitting and plotting SITAR (SuperImposition by Translation And Rotation) growth curve models

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Version

Install

install.packages('sitar')

Monthly Downloads

805

Version

1.0.1

License

GPL (>= 2)

Maintainer

Tim Cole

Last Published

June 27th, 2014

Functions in sitar (1.0.1)

plotclean

Plot multiple growth curves to identify outliers
codeplot

Plot and zap velocity outliers in growth curves
BICadj

Ways to compare SITAR models for fit
who06

The WHO 2006 growth standard
print.summary.sitar

Print summary of SITAR model
bupdate

Update the b fixed effect to minimise the b-c random effect correlation
z2cent

Express z-scores as centile character strings for plotting
cLMS

LMS conversion to and from z-scores
heights

Serial heights measured in 12 girls
sitar-package

SITAR (SuperImposition by Translation And Rotation) growth curve analysis
lms2z

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

Fit SITAR growth curve model
velout

Identify outliers with abnormal velocity in growth curves
uk90

UK 1990 growth reference
ukwhopt

UK-WHO growth reference including preterm
plot.sitar

Plot SITAR model
y2plot

Plot with two y axes
summary.sitar

Create summary of SITAR model
subsample

Sample from SITAR dataset
print.sitar

Print SITAR model
getVarCov.sitar

Extract variance-covariance matrix for SITAR models
funcall

Function call with optional inverse
mplot

Plot multiple growth curves
LMSfit

Estimate LMS curves from tabulated growth reference centiles
predict.sitar

Predict SITAR model
recalib

Recalibrate x, y data using SITAR random effects
anova.sitar

Compare Likelihoods of Fitted SITAR Objects
getData.sitar

Extract SITAR object data
ifun

Invert an expression defining a data transformation
makess

Create cubic smoothing spline from data
xaxsd

Par args xaxs and yaxs option d
getCovariate.sitar

Extract Covariate from a SITAR object
xyadj

Adjust x and y variables for SITAR random effects