लोड हो रहा है..
General Linear Hypotheses Use glht (multcomp) With (In) R Software
https://dik.si/_glht
Tukey-Kramer pairwise comparisons Use tkcomp With STATA 19
https://ln.run/tkcomp
#rstudio #rstats #rsoftware #rstatistics
Marginal Effects Estimation for Model Objects Use margins With (In) R Software
https://ln.run/margins
Pairwise multiple comparisons of means with unequal variances Use pwmc With STATA 19
https://ristek.link/pwmc
#rstudio #rstats #rsoftware #rstatistics
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
