sitar1.4.0 package

Super Imposition by Translation and Rotation Growth Curve Analysis

anova.sitar

Compare Likelihoods of Fitted SITAR Objects

apv_se

Bootstrap standard errors for SITAR peak velocity and age at peak velo...

BICadj

Ways to compare SITAR models for fit

bupdate

Update the b fixed effect to minimise the b-c random effect correlatio...

cLMS

LMS conversion to and from z-scores

codeplot

Plot and zap velocity outliers in growth curves

dfpower

Tabulate BIC of SITAR models by degrees of freedom, fixed effects and ...

dfset

Find degrees of freedom for a natural spline curve to minimise BIC or ...

funcall

Function call with optional inverse

getData.sitar

Extract elements of fitted SITAR models

getPeakTrough

Identify peak or trough on curve

ifun

Invert an expression defining a data transformation

LMS2z

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

LMSfit

Estimate LMS curves from tabulated growth reference centiles

mplot

Plot multiple growth curves

ob_convertr

Convert between IOTF, WHO and CDC prevalence rates for child thinness,...

optimal_design

Optimal design for growth reference centile studies

pdLMS

Plot frequency distributions(s) for given L, M and S values in LMS met...

pipe

Pipe operator

plot.sitar

Plot SITAR model

plotclean

Plot multiple growth curves to identify outliers

predict.sitar

Predict SITAR model

print.sitar

Print SITAR model

print.summary.sitar

Print summary of SITAR model

recalib

Recalibrate x, y data using SITAR random effects

sitar-package

SITAR (SuperImposition by Translation And Rotation) growth curve analy...

sitar

Fit SITAR growth curve model

subsample

Sample from SITAR dataset

summary.sitar

Create summary of SITAR model

timegap

Select equally spaced ages from a vector of ages

velout

Identify outliers with abnormal velocity in growth curves

xaxsd

Par args xaxs and yaxs option d

xyadj

Adjust x and y variables for SITAR random effects

z2cent

Express z-scores as centile character strings for plotting

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. The model was first described by Lindstrom (1995) <doi:10.1002/sim.4780141807> and developed as the SITAR method by Cole et al (2010) <doi:10.1093/ije/dyq115>.