robincar_mh, which calculates
a Mantel-Haenszel statistic. Please see Xiaoyu Qiu, Yuhan Qian, Jaehwan
Yi, Jinqiu Wang, Yu Du, Yanyao Yi, Ting Ye (2025) for methods, and
our new vignette.robincar_glm.
They are asymptotically equivalent to the original estimator, but have
different finite sample properties. See the description of the function
for details.robincar_glm.robincar_logrank, robincar_coxscore, and
robincar_covhr.robincar_glm: removed
robincar_glm, and renamed robincar_glm2 to
robincar_glm. Same with robincar_linear and
robincar_linear2. In effect, the older versions of
robincar_linear and robincar_glm have been
deprecated.NEWS.md file to track changes to the
package.robincar_linear2 and
robincar_glm2. These are wrappers for
robincar_linear and robincar_glm,
respectively, but they give the user more full control over their
covariate adjustment settings. The differences are listed below:
robincar_linear and
robincar_linear2 is that in robincar_linear2,
if you want to include strata variables as covariates in the working
model, you need to add those strata variables to the
covariate_cols as well as the
car_strata_cols.robincar_glm2 is exactly robincar_glm but
only with the formula working model functionality.formula argument in
robincar_glm. The first is if you had overlapping names for
your treatment/response/covariate/strata variables (e.g., “A” for
treatment col, and “A2” for covariate col), the formula would parse
incorrectly. The second is if you used parentheses (e.g., “A*(x1+x2)“),
the formula would also parse incorrectly. This would have given breaking
errors to the user, and now the behavior is fixed.Initial Release