Package: geeasy 0.1.2
geeasy: Solve Generalized Estimating Equations for Clustered Data
Estimation of generalized linear models with correlated/clustered observations by use of generalized estimating equations (GEE). See e.g. Halekoh and Højsgaard, (2005, <doi:10.18637/jss.v015.i02>), for details. Several types of clustering are supported, including exchangeable variance structures, AR1 structures, M-dependent, user-specified variance structures and more. The model fitting computations are performed using modified code from the 'geeM' package, while the interface and output objects have been written to resemble the 'geepack' package. The package also contains additional tools for working with and inspecting results from the 'geepack' package, e.g. a 'confint' method for 'geeglm' objects from 'geepack'.
Authors:
geeasy_0.1.2.tar.gz
geeasy_0.1.2.zip(r-4.5)geeasy_0.1.2.zip(r-4.4)geeasy_0.1.2.zip(r-4.3)
geeasy_0.1.2.tgz(r-4.4-any)geeasy_0.1.2.tgz(r-4.3-any)
geeasy_0.1.2.tar.gz(r-4.5-noble)geeasy_0.1.2.tar.gz(r-4.4-noble)
geeasy_0.1.2.tgz(r-4.4-emscripten)geeasy_0.1.2.tgz(r-4.3-emscripten)
geeasy.pdf |geeasy.html✨
geeasy/json (API)
NEWS
| # Install 'geeasy' in R: |
| install.packages('geeasy', repos = c('https://hojsgaard.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 months agofrom:d013898018. Checks:5 OK, 2 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 25 2025 |
| R-4.5-win | NOTE | Jan 25 2025 |
| R-4.5-linux | NOTE | Jan 25 2025 |
| R-4.4-win | OK | Jan 25 2025 |
| R-4.4-mac | OK | Jan 25 2025 |
| R-4.3-win | OK | Jan 25 2025 |
| R-4.3-mac | OK | Jan 25 2025 |
Exports:geelmgeelm.controlgeelm.fitgetGEEgetMEplotEst
Dependencies:backportsbitbit64bootbroomclicliprcodetoolscolorspacecpp11crayondplyrevaluatefansifarverforcatsforeachgeeMgeepackgenericsggformulaggplot2ggridgesglmnetgluegtablehavenhighrhmsisobanditeratorskinship2knitrlabelinglabelledlatticelifecyclelme4magrittrMASSMatrixMESSmgcvminqamosaicCoremunsellmvtnormnlmenloptrpillarpkgconfigprettyunitsprogresspurrrquadprogR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasrlangscalesshapestringistringrsurvivaltibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Confidence Intervals for geelm objects | confint.geeglm confint.geelm |
| Drop All Possible Single Terms to a 'geeglm' Model Using Wald or Score Test | drop1.geeglm |
| Drop All Possible Single Terms to a 'geem' Model Using Wald or Score Test | drop1.geem |
| Control estimation of GEE models | geelm.control |
| Fit Generalized Estimating Equation-based Linear Models | geelm geelm.fit |
| Get information for a geelm/geeglm object | getGEE getME |
| Plot parameter estimates with 95 pct confidence intervals. | plotEst |
| Internal functions for the MESS package | scorefct |
