Log-binomial regression Use logbin With (In) R Software
https://ln.run/logbin
Compute marginal (log) odds ratios after model estimation Use lnmor With STATA 19
https://dik.si/lnmor
#rstudio #rstats #rsoftware #rstatistics
Log-binomial regression Use logbin With (In) R Software
https://ln.run/logbin
Compute marginal (log) odds ratios after model estimation Use lnmor With STATA 19
https://dik.si/lnmor
#rstudio #rstats #rsoftware #rstatistics
Jackknife variance estimates of regression coefficients Use var.jack (pls) With (In) R Software
https://ln.run/varjack
Test for the level of clustering Use mnwsvt With STATA 19
ristek.link/mnwsvt
#rstudio #rstats #rsoftware #rstatistics
Cluster robust standard errors with degrees of freedom adjustments (for lm and glm objects) Use clustSE (CR2) With (In) R Software
ristek.link/clustSE
Twoway cluster jackknife variance estimation Use twowayjack With STATA 19
https://ln.run/twowayjack
#rstudio #rstats #rsoftware #rstatistics
Cluster robust standard errors with degrees of freedom adjustments for lmerMod/lme objects Use robust_mixed (CR2) With (In) R Software
https://ln.run/robust_mixed
Standard errors robust inference with multiway clustering Use vcemway With STATA 19
https://dik.si/vcemway
#rstudio #rstats #rsoftware #rstatistics
Linear regression with clustered robust standard errors Use lmrse With (In) R Software
ristek.link/lmrse
Linear regression with small-sample corrections for cluster-robust standard errors and t-tests Use reg_sandwich With STATA 19
https://ln.run/reg_sandwich
#rstudio #rstats #rsoftware #rstatistics