Learn R Programming

AsynchLong (version 2.3)

Regression Analysis of Sparse Asynchronous Longitudinal Data

Description

Estimation of regression models for sparse asynchronous longitudinal observations, where time-dependent response and covariates are mismatched and observed intermittently within subjects. Kernel weighted estimating equations are used for generalized linear models with either time-invariant or time-dependent coefficients. Cao, H., Li, J., and Fine, J. P. (2016) . Cao, H., Zeng, D., and Fine, J. P. (2015) .

Copy Link

Version

Install

install.packages('AsynchLong')

Monthly Downloads

417

Version

2.3

License

GPL-2

Last Published

November 24th, 2023

Functions in AsynchLong (2.3)

asynchTI

Regression Analysis for Time-Invariant Coefficients
asynchHK

Regression Analysis for Time-Invariant Coefficients Using Half-Kernel Estimation
asynchLV

Regression Analysis Using Last Value Carried Forward
asynchDataTD

Generated Asynchronous Longitudinal Data with Time-Dependent Coefficients
asynchWLV

Weighted Last Observation Carried Forward Regression Analysis for Time-Invariant Coefficients
asynchTD

Regression Analysis for Time-Dependent Coefficients
AsynchLong-package

Regression Analysis of Sparse Asynchronous Longitudinal Data
asynchDataTI

Generated Asynchronous Longitudinal Data with Time-Invariant Coefficients