19:12

Force variables to satisfy a set of accounting identities Use enforce With STATA 18

22:42

Nonparametric series quantile regression Use npqr (quantreg.nonpar) With (In) R Software

15:59

Difference in differences (DID) estimation result Use diff With STATA 18

27:12

Difference-in-Differences (DID) with Multiple Time Periods Use att_gt And aggte (did) In R Software

14:20

Generalizations of weighted kappa for incomplete designs Use kappa2 With STATA 18

22:02

Generalized kappa Use gkappa (ragree) With (In) R Software

16:40

Local average treatment effect Abadie's kappa approach other weighting estimators kappalate STATA 18

21:14

Cohen's Kappa and weighted Kappa for two raters Use kappa2 (irr) With (In) R Software

17:31

IPW- and CBPS-type propensity score reweighting, with various extensions Use psweight With STATA 18

24:35

Covariate Balancing Propensity Score (CBPS) Estimation Use CBPS With (In) R Software

14:24

Inverse probability weighted parametric survival models M-estimation Use stipw With STATA 18

17:26

Estimate inverse probability weights (point treatment) Use ipwpoint (ipw) With (In) R Software

19:36

Quantile regression corrected for sample selection Use qregsel With STATA 18

14:25

Confidence interval plot Use ciplot (handyplots) With (In) R Software

14:57

Modified Version of Nick Cox's ciplot (Plots of confidence intervals) Use ciplotm With STATA 18

16:10

Plot quantile Regression Coefficients Use ctqr With (In) R Software

32:38

A routine for distributed micro-data analysis of business dynamic Use dynemp In STATA 18

27:23

Library of Super Learner for Ridge Cox Regression LIB_COXridge & LIB_COXall survivalSL R Software

13:39

Solving (Solves) a gravity model within the universal gravity class Use ge_gravity2 With STATA 18

21:22

Double demeaning (DDM) gravity equation models Use ddm (gravity) With (In) R Software

11:59

Implement Nopo's decomposition (Decomposition of Nopo (2008)) Use nopomatch With STATA 18

21:57

Decomposition observed difference between averages Nopo (2008) Use nopodec (decr) In R Software

18:49

Isolation forest model Use iforest With STATA 18

17:49

Classification and regression with random forest Use randomForest With (In) R Software

14:37

Implement Random Forest algorithm Use rforest With STATA 18

15:48

Implementation of Random Forest (Breiman 2001) or recursive partitioning Use ranger In R Software

15:09

Decission Tree With Chi-square automated interaction detection (CHAID) Use chaid With STATA 18

21:30

Profit efficiency Data Envelopment Analysis (DEA) model Use model_profit (deaR) With (in) R Software

14:57

Fisher's Exact Test for Count Data Use tabulate With STATA 18

14:27

Fisher's Exact Test for Count Data Use fisher.test With (In) R Software

14:10

Irving fisher arithmetic distributed lag model Use dlagif With STATA 18

17:38

Longitudinal data analysis via linear quantile mixtures Use lqmix With (In) R Software

13:07

Graph the coefficients of a Quantile Regression Use grqreg With STATA 18

20:43

Ordinary ridge regression estimator Use rid (lrmest) With (In) R Software

12:38

Curve estimation regression statistics & related plots between two variables Use curvefit STATA 18

16:02

Liu estimation of linear regression model with collinear regressors Use liu (liureg) In R Software

14:06

Cohen's f2 effect size measure after running xtmixed or mixed Use meffects With STATA 18

19:32

Robust effect size index (RESI) estimation Use resi (RESI) With (In) R Software

16:14

Extended newey (HAC covariance estimation) regression Use Newey West standard errors newey2 STATA 18

17:36

Robust linear mixed models Use rlmer (robustlmm) With (In) R Software

14:19

Fama-Macbeth (1973) regression with Newey-West (1987) standard errors Use fm With STATA 18

19:07

Newey-West HAC Covariance Matrix Estimation Use NeweyWest (sandwich) With (In) R Software

13:13

Difference-in-differences treatment effects alternative Parallel-q assumptions Use didq In STATA 18

17:02

Fast staggered and flexible Difference-in-Differences (DiD) estimators Use fastdid In R Software

11:43

Control the family-wise error rate when performing multiple hypothesis tests Use wyoung In STATA 18

13:45

Binomial nonlinear regression models Use bnlr (gnlm) With (In) R Software

14:56

Robust t-test for potentially heavy-tailed observationsscores Use robttest With STATA 18

16:05

Robust t-test (Yuen's test) Use yuen And yuenbt With (In) R Software

14:43

Linear regression for list experiments Use listreg With STATA 18

15:04

Multiple regression Use mReg (berryFunctions) With (In) R Software

11:40

Instrumental variable estimation of quantile treatment effects Use ivqte With STATA 18

17:16

Quantile treatment effects Use ci.qte (qte) With (In) R Software

13:42

Decision curve analysis Use stdca With STATA 18

15:40

Gamma lasso regression Use gamlr With (In) R Software

17:04

Modelling multiple timescales use flexible parametric survival models log hazard scale stmt STATA 18

22:37

Hazard and excess hazard modelling with multidimensional penalized splines Use survPen In R Software

16:39

MR Egger regression type analyses Use mregger & lincom & mrmedian & mrmodal (mrrobust) In STATA 18

16:09

Instrumental Variables Regression Use IVreg (ManyIV) With (In) R Software

13:33

(Adaptive) Lasso with some invalid instruments (IVs) Use sivreg With STATA 18

16:22

Analyses of simulation studies including Monte Carlo error Use simsum (rsimsum) With (In) R Software