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IrregLong (version 0.1.0)

Analysis of Longitudinal Data with Irregular Observation Times

Description

Analysis of longitudinal data for which the times of observation are random variables that are potentially associated with the outcome process. The package includes inverse-intensity weighting methods (Lin H, Scharfstein DO, Rosenheck RA (2004) ) and multiple outputation (Pullenayegum EM (2016) ).

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Version

Install

install.packages('IrregLong')

Monthly Downloads

276

Version

0.1.0

License

GPL-3

Maintainer

Eleanor Pullenayegum

Last Published

February 11th, 2019

Functions in IrregLong (0.1.0)

iiwgee

Fit an inverse-intensity weighted GEE.
Liang

Fit a semi-parametric joint model
addcensoredrows

Add rows corresponding to censoring times to a longitudinal dataset
iiw

Given a proportional hazards model for visit intensities, compute inverse-intensity weights.
iiw.weights

Compute inverse-intensity weights.
outputation

Create an outputted dataset for use with multiple outputation.
mo

Multiple outputation for longitudinal data subject to irregular observation.
lagfn

Create lagged versions the variables in data