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TTM: Terminal Trend Models on the Retrospective Time Scale

Fits retrospective-time longitudinal models for terminal trend analysis using weighted generalized estimating equations and related joint modeling tools. The package provides functions to estimate spline-based baseline and treatment effect trajectories on the retrospective time scale, obtain pointwise confidence intervals, and visualize fitted trajectories.

Version: 0.1.0
Depends: R (≥ 4.4.0)
Imports: dplyr, geepack, geer, ggplot2 (≥ 3.4.0), lme4, magrittr, splines, stats, survival, utils
Suggests: knitr, rmarkdown
Published: 2026-10-27
DOI: 10.32614/CRAN.package.TTM
Author: Tingchang Wang [aut], Zhigang Li [aut, cre]
Maintainer: Zhigang Li <zhigang.li at ufl.edu>
BugReports: https://github.com/TChang-W/TTM/issues
License: GPL-2
URL: https://github.com/TChang-W/TTM
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: TTM results

Documentation:

Reference manual: TTM.html , TTM.pdf
Vignettes: Introduction to RetroJM (source, R code)
Introduction to TTM (source, R code)

Downloads:

Package source: TTM_0.1.0.tar.gz
Windows binaries: r-devel: TTM_0.1.0.zip, r-release: TTM_0.1.0.zip, r-oldrel: TTM_0.1.0.zip
macOS binaries: r-release (arm64): TTM_0.1.0.tgz, r-oldrel (arm64): TTM_0.1.0.tgz, r-release (x86_64): TTM_0.1.0.tgz, r-oldrel (x86_64): TTM_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TTM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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