Analysis of Longitudinal Data with Irregular Observation Times

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Documentation for package ‘IrregLong’ version 0.4.0

• 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
create.bootstrapped.dataset	Create a single bootstrap sample for clustered data For clustered data, create a bootstrapped sample by sampling, with replacement, the same number of clusters as in the original 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
Liangint	Fit a semi-parametric joint model, incorporating intercept estimation
mo	Multiple outputation for longitudinal data subject to irregular observation.
outputation	Create an outputted dataset for use with multiple outputation.