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

@nonzerosumjames.bsky.social Lipsitz goodness of fit test for ordinal logistic models Use lipsitz.test (generalhoslem) With R Software ristek.link/lipsitz.test Goodness-of-fit test for multinomial logistic regression models Use mlogitgof With STATA 19 ln.run/mlogitgof #rstudio #rstats #rsoftware

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

Create KMunicate-Style Kaplan–Meier Plots Use KMunicate With (In) R Software ln.run/KMunicate Computes confidence intervals standard errors p-values IV regression Use ivreg_ss With STATA 19 ristek.link/ivreg_ss #rstudio #rstats #rsoftware #rstatistics

Standardized Regression Coefficients Generate Sampling Distribution Monte Carlo betaMC R Software ristek.link/betaMC Elliott Müller efficient general persistent time variation regression coefficients Use qll STATA 19 ln.run/_qll #rstudio #rstats #rsoftware #rstatistics

Hansen's Covariate-Augmented Dickey Fuller (CADF) test for unit roots Use CADFtest With (In) R Software ln.run/CADFtest Perform Elliott-Jansson test for unit roots with stationary covariates Use urcovar With STATA 19 ristek.link/urcovar #rstudio #rstats #rsoftware #rstatistics

Complete Guide to Using Banxia Frontier Analysis for 95 DMUs Step by Step Complete Files (Input Files, Banxia Frontier Analysis) ln.run/Banxia

@r-foundation.bsky.social Bivariate Additive Regression for Categorical Responses Use pblm With (In) R Software ln.run/pblm Multivariable modeling with cubic regression splines models Use mvrs With STATA 19 ristek.link/mvrs #rstudio #rstats #rsoftware #rstatistics

Transformation-free Linear Regression for Compositional Outcomes and Predictors Use codalm With (In) R Software ristek.link/codalm Estimate heterogeneous error correction models in cross-sectional dependent panel data Use xtcaec With STATA 19 ln.run/xtcaec #rstudio #rstats #rsoftware #rstatistics

Warwick Data Envelopment Analysis (DEA) (WDEA) Full Version Complete Files (Input Files, Master Warwick Data Envelopment Analysis (DEA) (WDEA) Full Version) ln.run/WDEA

Estimate one-inflated positive Poisson (OIPP) one-inflated zero-truncated negative binomial (OIZTNB) regression models Use oneinfl R Software ristek.link/oneinfl Fitting zero one inflated beta distribution maximum likelihood Use zoib In STATA 19 ln.run/zoib #rstudio #rstats #rsoftware #rstatistics

Coefficient of variation (CV) Use cv (goeveg) With (In) R Software ln.run/goeveg Stata module to calculate the coefficient of variation for variables Use cv2 With STATA 19 ristek.link/cv2 #rstudio #rstats #rsoftware #rstatistics

Hierarchical Regression Analysis Use lmhelprs (hierarchical_lm) With (In) R Software ristek.link/lmhelprs Hierarchical Regression Analysis Use hireg With STATA 19 ln.run/hireg #rstudio #rstats #rsoftware #rstatistics

Compute linear impulse responses Use lp_lin (lpirfs) With (In) R Software ln.run/lp_lin Estimate Local Projections Use locproj With STATA 19 ristek.link/locproj #rstudio #rstats #rsoftware #rstatistics

Doubly Robust Distribution Balancing Weighting Estimation Use dbw With (In) R Software ln.run/_dbw Doubly-robust marginal mean weighting through stratification Use drmmws With STATA 19 ristek.link/drmmws #rstudio #rstats #rsoftware #rstatistics

Johnson Neyman intervals 2 way interactions Use johnson_neyman In R Software ristek.link/johnson_neyman Regression adjusting standard errors spatial correlation spatial_hac_iv STATA 19 ln.run/spatial_hac_iv #rstudio #rstats #rsoftware #rstatistics

Approximate Randomization Tests with a Small Number of Clusters Use artlm (rART) With (In) R Software ln.run/artlm Implement approximate randomization tests for inference with a small number of clusters Use art With STATA 19 ristek.link/art #rstudio #rstats #rsoftware #rstatistics

Dynamic Synthetic Control Use dsc With (In) R Software ristek.link/dsc Regularized Synthetic Controls Use scul With STATA 19 ln.run/scul #rstudio #rstats #rsoftware #rstatistics

Calculating composite indicator automatically step by step Use calc_compindex (compindexR) With (In) R Software ristek.link/calc_compindex Financial Protection Indicators for Health Expenditures Use fpimpov and fpcata (fpro) With STATA 19 ln.run/fpro #rstudio #rstats #rsoftware #rstatistics

STATA 19 MP Crack Full Version Link Download ln.run/19mp

Simulation extrapolation (Simex) Use simex With (In) R Software ristek.link/simex Simulation extrapolation (Simex) Use simex With STATA 19 ln.run/simex #rstudio #rstats #rsoftware #rstatistics

Maximum Likelihood Estimation for Generalized Linear Mixed Models Use mcemGLM With (In) R Software ristek.link/mcemGLM Maximum likelihood estimation of quadratic exponential models Use cquad (cquadbasic and cquadpseudo and cquadequ and cquadext) With STATA 19 ln.run/Cquad #rstudio #rstats

Linear Regression Use lmGC (tigerstats) With (In) R Software ln.run/lmGC OLS Linear vs Log-Linear Functional Form Tests Use lmfreg With STATA 19 ristek.link/lmfreg #rstudio #rstats #rsoftware #rstatistics

Granger causality test (multivariate) Use granger_causality (bruceR) With (In) R Software ristek.link/bruceR Granger Causality Test at Higher Order AR(p) Use lmgc With STATA 19 ln.run/lmgc #rstudio #rstats #rsoftware #rstatistics