Package: geer 0.1.1

geer: Bias-Reduced and Penalized Generalized Estimating Equations

Fits marginal regression models for repeated or clustered responses using generalized estimating equations (GEE). Provides ordinary GEE estimators, bias-reduced and bias-corrected GEE estimators, and Jeffreys-type penalized GEE estimators for binary, count and continuous responses. Methods are described in Touloumis (2026a) <doi:10.48550/arXiv.2606.16043> and Touloumis (2026b) <doi:10.48550/arXiv.2606.16058>.

Authors:Anestis Touloumis [aut, cre]

geer_0.1.1.tar.gz
geer_0.1.1.zip(r-4.7-x86_64)geer_0.1.1.zip(r-4.7-arm64)geer_0.1.1.zip(r-4.6-x86_64)geer_0.1.1.zip(r-4.6-arm64)geer_0.1.1.zip(r-4.5-x86_64)
geer_0.1.1.tgz(r-4.6-x86_64)geer_0.1.1.tgz(r-4.6-arm64)geer_0.1.1.tgz(r-4.5-x86_64)geer_0.1.1.tgz(r-4.5-arm64)
geer_0.1.1.tar.gz(r-4.7-arm64)geer_0.1.1.tar.gz(r-4.7-x86_64)geer_0.1.1.tar.gz(r-4.6-arm64)geer_0.1.1.tar.gz(r-4.6-x86_64)
geer_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
geer/json (API)

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

Bug tracker:https://github.com/anestistouloumis/geer/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

openblascpp

3.93 score 3 scripts 366 downloads 14 exports 12 dependencies

Last updated from:e5b1ac9e95. Checks:3 ERROR, 12 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR140
linux-devel-x86_64ERROR189
source / vignettesOK263
linux-release-arm64OK180
linux-release-x86_64OK225
macos-release-arm64OK222
macos-release-x86_64OK425
macos-oldrel-arm64OK185
macos-oldrel-x86_64OK557
windows-devel-arm64ERROR407
windows-devel-x86_64OK235
windows-release-arm64OK461
windows-release-x86_64OK236
windows-oldrel-x86_64OK251
wasm-releaseOK131

Exports:emm_basis.geerfrechet_bounds_corgeecriteriageer_controlgeewageewa_binaryglancemcar_homoscedasticity_testmcar_little_testmcar_logistic_testrecover_data.geerruns_teststep_ptidy

Dependencies:brglm2enrichwithgenericslatticeMASSMatrixnleqslvnnetnumDerivRcppRcppArmadillostatmod

Readme and manuals

Help Manual

Help pageTopics
Bias-Reduced and Penalized Generalized Estimating Equationsgeer-package geer
Add or Drop Single Terms to or from a geer Objectadd1.geer drop1.geer
ANOVA Tables for geer Objectsanova.geer
Cerebrovascular Deficiency Trialcerebrovascular
Shoulder Pain After Laparoscopic Cholecystectomy Trialcholecystectomy
Extract Model Coefficients from a geer Objectcoef.geer
Confidence Intervals for Model Parameters from a geer Objectconfint.geer
Postnatal Depression Oestrogen Patch Trialdepression
emmeans Support for geer Objectsemmeans-support emm_basis.geer recover_data.geer
Progabide Epilepsy Trialepilepsy
Extract Model Fitted Values from a geer Objectfitted.geer
Fréchet Bounds for a Working Correlation Matrixfrechet_bounds_cor
Model Selection Criteria for geer Objectsgeecriteria
Control Parameters for geer Model Fittinggeer_control
Fitting (Adjusted) Generalized Estimating Equationsgeewa
Fitting (Adjusted) Generalized Estimating Equations for Binary Responsesgeewa_binary
Glance at a geer Objectglance.geer
Antibiotic Treatment for Leprosy Trialleprosy
marginaleffects Support for geer Objectsget_coef.geer get_data.geer get_predict.geer get_vcov.geer marginaleffects-support set_coef.geer
Jamshidian-Jalal Test of Missing Completely at Randommcar_homoscedasticity_test
Little's Test of Missing Completely at Randommcar_little_test
Logistic Regression Test of Missing Completely at Randommcar_logistic_test
Construct Design Matrices from a geer Objectmodel.matrix.geer
Plot the Residual Sign Sequence of a Runs Testplot.geer_runs_test
Predictions from a geer Objectpredict.geer
Print a geer Objectprint.geer
Print a summary.geer Objectprint.summary.geer
Residuals from a geer Objectresiduals.geer
Respiratory Illness Clinical Trialrespiratory
Dental Plaque Mouth Rinse Trialrinse
Wald-Wolfowitz Runs Test for geer Residualsruns_test
Stepwise Model Selection by Hypothesis Testingstep_p
Summarize a geer Objectsummary.geer
Tidy a geer Objecttidy.geer
Extract Variance-Covariance Matrix from a geer Objectvcov.geer