Package: IrregLong 0.3.4

IrregLong: Analysis of Longitudinal Data with Irregular Observation Times

Functions to help with analysis of longitudinal data featuring irregular observation times, where the observation times may be associated with the outcome process. There are functions to quantify the degree of irregularity, fit inverse-intensity weighted Generalized Estimating Equations (Lin H, Scharfstein DO, Rosenheck RA (2004) <doi:10.1111/j.1467-9868.2004.b5543.x>), perform multiple outputation (Pullenayegum EM (2016) <doi:10.1002/sim.6829>) and fit semi-parametric joint models (Liang Y (2009) <doi:10.1111/j.1541-0420.2008.01104.x>).

Authors:Eleanor Pullenayegum

IrregLong_0.3.4.tar.gz
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IrregLong.pdf |IrregLong.html
IrregLong/json (API)
NEWS

# Install 'IrregLong' in R:
install.packages('IrregLong', repos = c('https://epullenayegum.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/epullenayegum/irreglong/issues

On CRAN:

4.04 score 2 stars 11 scripts 396 downloads 1 mentions 10 exports 29 dependencies

Last updated 3 years agofrom:1a019a79cd. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-winNOTEOct 18 2024
R-4.5-linuxNOTEOct 18 2024
R-4.4-winNOTEOct 18 2024
R-4.4-macNOTEOct 18 2024
R-4.3-winOKOct 18 2024
R-4.3-macOKOct 18 2024

Exports:abacus.plotaddcensoredrowsextent.of.irregularityiiwiiw.weightsiiwgeelagfnLiangmooutputation

Dependencies:backportsbroomclicpp11data.tabledplyrfansigeepackgenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigpurrrR6rlangstringistringrsurvivaltibbletidyrtidyselectutf8vctrswithr

Analysis of longitudinal data with irregular observation times

Rendered fromIrreglong-vignette.Rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2022-02-10
Started: 2022-02-10