Package: stdReg2 1.0.1

stdReg2: Regression Standardization for Causal Inference

Contains more modern tools for causal inference using regression standardization. Four general classes of models are implemented; generalized linear models, conditional generalized estimating equation models, Cox proportional hazards models, and shared frailty gamma-Weibull models. Methodological details are described in Sjölander, A. (2016) <doi:10.1007/s10654-016-0157-3>. Also includes functionality for doubly robust estimation for generalized linear models in some special cases, and the ability to implement custom models.

Authors:Michael C Sachs [aut, cre], Arvid Sjölander [aut], Erin E Gabriel [aut], Johan Sebastian Ohlendorff [aut], Adam Brand [aut]

stdReg2_1.0.1.tar.gz
stdReg2_1.0.1.zip(r-4.5)stdReg2_1.0.1.zip(r-4.4)stdReg2_1.0.1.zip(r-4.3)
stdReg2_1.0.1.tgz(r-4.4-any)stdReg2_1.0.1.tgz(r-4.3-any)
stdReg2_1.0.1.tar.gz(r-4.5-noble)stdReg2_1.0.1.tar.gz(r-4.4-noble)
stdReg2_1.0.1.tgz(r-4.4-emscripten)stdReg2_1.0.1.tgz(r-4.3-emscripten)
stdReg2.pdf |stdReg2.html✨
stdReg2/json (API)
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Bug tracker:https://github.com/sachsmc/stdreg2/issues

On CRAN:

16 exports 1 stars 1.08 score 9 dependencies 5 scripts

Last updated 8 days agofrom:c9c704ac44. Checks:OK: 7. Indexed: yes.

Exports:parfrailtyplot.std_glmplot.std_survprint.std_customprint.std_glmprint.std_survsandwichstandardizestandardize_coxphstandardize_geestandardize_glmstandardize_glm_drstandardize_levelstandardize_parfrailtysummary.parfrailtytidy

Dependencies:data.tabledrgeegenericslatticeMatrixnleqslvRcppRcppArmadillosurvival