IrregLong v0.1.0

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Analysis of Longitudinal Data with Irregular Observation Times

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) <doi:10.1111/j.1467-9868.2004.b5543.x>) and multiple outputation (Pullenayegum EM (2016) <doi:10.1002/sim.6829>).

Functions in IrregLong

Name Description
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
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Vignettes of IrregLong

Name
IrregLongVignetteRefs.bib
Irreglong-vignette.Rmd
vignette.pdf
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Details

Type Package
Date 2019-01-28
License GPL-3
RoxygenNote 6.1.1
VignetteBuilder knitr
LazyData true
Language en-GB
NeedsCompilation no
Packaged 2019-02-05 01:13:03 UTC; Eleanor Pullenayegum
Repository CRAN
Date/Publication 2019-02-11 14:03:20 UTC

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