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IrregLong  

Analysis of Longitudinal Data with Irregular Observation Times
View on CRAN: Click here


Download and install IrregLong package within the R console
Install from CRAN:
install.packages("IrregLong")

Install from Github:
library("remotes")
install_github("cran/IrregLong")

Install by package version:
library("remotes")
install_version("IrregLong", "0.4.0")



Attach the package and use:
library("IrregLong")
Maintained by
Eleanor Pullenayegum
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-11
Latest Update: 2024-09-06
Description:
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) ), perform multiple outputation (Pullenayegum EM (2016) ) and fit semi-parametric joint models (Liang Y (2009) ).
How to cite:
Eleanor Pullenayegum (2019). IrregLong: Analysis of Longitudinal Data with Irregular Observation Times. R package version 0.4.0, https://cran.r-project.org/web/packages/IrregLong. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.1.0 (2019-02-11 15:03), 0.2.0 (2020-01-24 06:10), 0.3.0 (2020-05-01 21:30), 0.3.1 (2020-05-23 06:20), 0.3.2 (2020-06-24 20:30), 0.3.3 (2020-08-24 23:20), 0.3.4 (2022-02-21 14:40), 0.4.0 (2024-09-06 19:40), (2026-07-09 08:07)
Other packages that cited IrregLong R package
View IrregLong citation profile
Other R packages that IrregLong depends, imports, suggests or enhances
Complete documentation for IrregLong
Functions, R codes and Examples using the IrregLong R package
Some associated functions: Liang . abacus.plot . addcensoredrows . extent.of.irregularity . iiw . iiw.weights . iiwgee . lagfn . mo . outputation . 
Some associated R codes: IIWcode.R .  Full IrregLong package functions and examples
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