Timbul Widodo, S.Tp Timbulwidodostp’s Shares
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Perform trimming or Winsorising on a series or group With Eviews 13
Perform trimming or Winsorising on a series or group With Eviews 13
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Fitting Count Regression Models with Latent Covariates Use countreg (lavacreg) With (In) R Software
Fitting Count Regression Models with Latent Covariates Use countreg (lavacreg) With (In) R Software
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Population attributable risks from binary regression models Use regpar With STATA 19
Population attributable risks from binary regression models Use regpar With STATA 19
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Estimating risk ratios and risk differences using regression Use riskratio and riskdiff With (In) R Software
Estimating risk ratios and risk differences using regression Use riskratio and riskdiff With (In) R Software
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Calculate standardized differences between groups for continuous and categorical variables Use stddiff With STATA 19
Calculate standardized differences between groups for continuous and categorical variables Use stddiff With STATA 19
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Difference-in-Differences with a Continuous Treatment Use cont_did (contdid) With (In) R Software
Difference-in-Differences with a Continuous Treatment Use cont_did (contdid) With (In) R Software
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Instrumental variables estimation using heteroskedasticity-based instruments Use ivreg2h With STATA 19
Instrumental variables estimation using heteroskedasticity-based instruments Use ivreg2h With STATA 19
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Estimate Multinomial Logit Models with Observed and Unobserved Individual Heterogeneity Use gmnl With (In) R Software
Estimate Multinomial Logit Models with Observed and Unobserved Individual Heterogeneity Use gmnl With (In) R Software
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Tukey-Kramer pairwise comparisons Use tkcomp With STATA 19
Tukey-Kramer pairwise comparisons Use tkcomp With STATA 19
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General Linear Hypotheses Use glht (multcomp) With (In) R Software
General Linear Hypotheses Use glht (multcomp) With (In) R Software