Functions for model selection Use regsubsets (leaps) With (In) R Software
dik.si/regsubsets
Forward Model Selection using AIC or BIC Use aic_model_selection With STATA 19
ln.run/aic_model_se...
#rstudio #rstats #rsoftware #rstatistics
Latest posts tagged with #rstatistics on Bluesky
Functions for model selection Use regsubsets (leaps) With (In) R Software
dik.si/regsubsets
Forward Model Selection using AIC or BIC Use aic_model_selection With STATA 19
ln.run/aic_model_se...
#rstudio #rstats #rsoftware #rstatistics
Calculating R-squared measures for multilevel models Use r2mlm With (In) R Software
dik.si/r2mlm
Compute r-squared measures for models estimated by mixed Use r2_mlm With STATA 19
ln.run/r2_mlm
#rstudio #rstats #rsoftware #rstatistics
The contaminated negative binomial regression model Use ml.cnb With (In) R Software
dik.si/mlcnb
Estimation of regression order statistics Use ros With STATA 19
ln.run/_ros
#rstudio #rstats #rsoftware #rstatistics
Fitting Count Regression Models with Latent Covariates Use countreg (lavacreg) With (In) R Software
ln.run/countreg
Perform trimming or Winsorising on a series or group With Eviews 13
ristek.link/Winsor
#rstudio #rstats #rsoftware #rstatistics
Estimating risk ratios and risk differences using regression Use riskratio and riskdiff With (In) R Software
ln.run/risks
Population attributable risks from binary regression models Use regpar With STATA 19
ristek.link/regpar
#rstudio #rstats #rsoftware #rstatistics
Difference-in-Differences with a Continuous Treatment Use cont_did (contdid) With (In) R Software
dik.si/cont_did
Calculate standardized differences between groups for continuous and categorical variables Use stddiff With STATA 19
ln.run/stddiff
#rstudio #rstats #rsoftware #rstatistics
Estimate Multinomial Logit Models with Observed and Unobserved Individual Heterogeneity Use gmnl With (In) R Software
dik.si/ggmnl
Instrumental variables estimation using heteroskedasticity-based instruments Use ivreg2h With STATA 19
ln.run/ivreg2h
#rstudio #rstats #rsoftware #rstatistics
General Linear Hypotheses Use glht (multcomp) With (In) R Software
dik.si/_glht
Tukey-Kramer pairwise comparisons Use tkcomp With STATA 19
ln.run/tkcomp
#rstudio #rstats #rsoftware #rstatistics
Marginal Effects Estimation for Model Objects Use margins With (In) R Software
ln.run/margins
Pairwise multiple comparisons of means with unequal variances Use pwmc With STATA 19
ristek.link/pwmc
#rstudio #rstats #rsoftware #rstatistics
Multiple Correspondence Analysis (MCA) Use MCA (FactoMineR) With (In) R Software
ln.run/_MCA
Simple Correspondence Analysis Use coranal With STATA 19
ristek.link/coranal
#rstudio #rstats #rsoftware #rstatistics
Analysis of the Elements of Metacommunity Structure Use Metacommunity (metacom) With (In) R Software
dik.si/Metacommunity
Cumulative meta-analysis, with graphics Use metacum With STATA 19
ln.run/metacum
#rstudio #rstats #rsoftware #rstatistics
Robust estimation for meta-analysis with influential outlying studies Use rmeta (robustmeta) With (In) R Software
ln.run/rmeta
Implement robust error meta-regression method for dose–response meta-analysis Use remr With STATA 19
ristek.link/remr
#rstudio #rstats #rsoftware #rstatistics
Perform a univariate meta-analysis Use uvmeta (metamisc) With (In) R Software
dik.si/uvmeta
Calibration plots and tests for Cox proportional hazards model Use stcoxcal With STATA 19
ln.run/stcoxcal
#rstudio #rstats #rsoftware #rstatistics
Fixed effects maximum likelihood models Use femlm (FENmlm) With (In) R Software
ln.run/femlm
Perform meta-analysis of aggregate (summary) data Use admetan With STATA 19
ristek.link/admetan
#rstudio #rstats #rsoftware #rstatistics
Comparing Two-Sample (Mean Cumulative Function) MCFs (Two-Sample Pseudo-Score Tests) Use mcfDiff (reda) With (In) R Software
ln.run/mcfDiff
Eventbaseline Correct event study after xthdidregress Use eventbaseline With STATA 19
ristek.link/eventbaseline
#rstudio #rstats #rsoftware #rstatistics
PE Test for Linear vs. Log-Linear Specifications Use petest (lmtest) With (In) R Software
dik.si/petest
Beach-Mackinnon AR(1) Autoregressive Maximum Likelihood Estimation Use alsmle With STATA 19
ln.run/alsmle
#rstudio #rstats #rsoftware #rstatistics
Aalen's additive regression model for censored data Use aareg (survival) With (In) R Software
ln.run/aareg
Aalen's linear hazards model analysis Use stlh With STATA 19
ristek.link/stlh
#rstudio #rstats #rsoftware #rstatistics
Competings Risks Regression Model Use comp.risk (timereg) With (In) R Software
dik.si/timereg
Flexible parametric competing-risks regression models Use stpm2cr With STATA 19
ln.run/stpm2cr
#rstudio #rstats #rsoftware #rstatistics
Cost-Effectiveness Analysis for Clinical Trials Use cea and boot_icer (CEACT) With (In) R Software
dik.si/CEACT
Multiple hypothesis testing controlling And correction for FWER Use mhtreg With STATA 19
ln.run/mhtreg
#rstudio #rstats #rsoftware #rstatistics
Free disposal hull (FDH) model Use model_fdh (deaR) With (In) R Software
ln.run/model_fdh
Introduction to cost-effectiveness analysis Use cea With STATA 19
ristek.link/cea
#rstudio #rstats #rsoftware #rstatistics
Meta-analysis of single proportions Use metaprop (meta) With (In) R Software
dik.si/metaprop
Fixed and random effects meta-analysis of proportions Use metaprop With STATA 19
ln.run/metaprop
#rstudio #rstats #rsoftware #rstatistics
Principal Component Regression Model Use pcr (analogue) With (In) R Software
ln.run/_pcr
Perform fixed and random effects meta-analysis of proportions Use metaprop_one With STATA 19
ristek.link/metaprop_one
#rstudio #rstats #rsoftware #rstatistics
Analytic Hierarchy Process (AHP) for Survey Data Use ahp (ahpsurvey) With (In) R Software
dik.si/ahpsurvey
Calculation comprehensive scores based on the entropy method or the entropy-TOPSIS method Use topsis With STATA 19
ln.run/topsis
#rstudio #rstats #rsoftware #rstatistics
Zivot and Andrews Unit Root Test Use ur.za (urca) With (In) R Software
dik.si/ur_za
Zivot-Andrews unit root test in presence of structural break Use zandrews With STATA 19
ln.run/zandrews
#rstudio #rstats #rsoftware #rstatistics
Dynamic panel model with fixed effects Use DPML (DPTM) With (In) R Software
ln.run/DPML
Westerlund error-correction-based (ECM) panel cointegration tests Use xtwest With STATA 19
ristek.link/xtwest
#rstudio #rstats #rsoftware #rstatistics
Finite Mixtures of Beta Regression for Rates and Proportions Use betamix (betareg) With (In) R Software
dik.si/betamix
Mixture beta regression model Use betamix With STATA 19
ln.run/betamix
#rstudio #rstats #rsoftware #rstatistics
Overdispersion Test - Cameron & Trivedi (1990) in Count Data Multiple Regression Analysis Use overdisp With (In) R Software
ln.run/_overdisp
Fitting (fit) a two-parameter beta distribution by maximum likelihood Use betafit With STATA 19
ristek.link/betafit
#rstudio #rstats #rsoftware #rstatistics
Get marginal effects from model terms Use ggeffect (ggeffects) With (In) R Software
dik.si/ggeffect
A direct command to detect overdispersion in count-data models Use overdisp With STATA 19
ln.run/overdisp
#rstudio #rstats #rsoftware #rstatistics
Baseline-Category Logit Models for Categorical and Multinomial Responses Use mblogit (mclogit) With (In) R Software
ln.run/mblogit
Stata macros for multinomial conditional logit models Use mclest With STATA 19
ristek.link/mclest
#rstudio #rstats #rsoftware #rstatistics
Goodness of Fit Measures for a Regression Hierarchy Use all.regs (hier.part) With (In) R Software
ln.run/reg_ss
Computes confidence intervals standard errors p-values linear regression structure reg_ss STATA 19
ristek.link/all.regs
#rstudio #rstats #rsoftware #rstatistics