Analysis of Longitudinal Data with Irregular Observation Times

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Documentation for package ‘IrregLong’ version 0.3.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

abacus.plot	Create an abacus plot Creates an abacus plot, depicting visits per subject over time
addcensoredrows	Add rows corresponding to censoring times to a longitudinal dataset
extent.of.irregularity	Measures of extent of visit irregularity Provides visual and numeric measures of the extent of irregularity in observation times in a longitudinal dataset
iiw	Given a proportional hazards model for visit intensities, compute inverse-intensity weights.
iiw.weights	Compute inverse-intensity weights.
iiwgee	Fit an inverse-intensity weighted GEE.
lagfn	Create lagged versions the variables in data
Liang	Fit a semi-parametric joint model
mo	Multiple outputation for longitudinal data subject to irregular observation.
outputation	Create an outputted dataset for use with multiple outputation.