Multiple Correspondence Analysis (MCA) Use MCA (FactoMineR) With (In) R Software
https://ln.run/_MCA
Simple Correspondence Analysis Use coranal With STATA 19
https://ristek.link/coranal
#rstudio #rstats #rsoftware #rstatistics

Analysis of the Elements of Metacommunity Structure Use Metacommunity (metacom) With (In) R Software
https://dik.si/Metacommunity
Cumulative meta-analysis, with graphics Use metacum With STATA 19
https://ln.run/metacum
#rstudio #rstats #rsoftware #rstatistics

Robust estimation for meta-analysis with influential outlying studies Use rmeta (robustmeta) With (In) R Software
https://ln.run/rmeta
Implement robust error meta-regression method for dose–response meta-analysis Use remr With STATA 19
https://ristek.link/remr
#rstudio #rstats #rsoftware #rstatistics

Perform a univariate meta-analysis Use uvmeta (metamisc) With (In) R Software
https://dik.si/uvmeta
Calibration plots and tests for Cox proportional hazards model Use stcoxcal With STATA 19
https://ln.run/stcoxcal
#rstudio #rstats #rsoftware #rstatistics

Fixed effects maximum likelihood models Use femlm (FENmlm) With (In) R Software
https://ln.run/femlm
Perform meta-analysis of aggregate (summary) data Use admetan With STATA 19
https://ristek.link/admetan
#rstudio #rstats #rsoftware #rstatistics