13bzhang

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13bzhang

predict.lm <- function(mod, predict.df, rob, cluster = NULL){
  
  ##Written by Joshua Gubler ~  http://scholar.byu.edu/jgubler
  ##Last updated on 26 June 2014
  ##Updated by Baobao Zhang
  ##This provides an option for robust (including cluster robust) or non-robust standard errors
  ##Note: when estimating a polynomial, you must create the quadratic/cubic as a separate variable first!!  This is also the best procedure when estimating logged effects.  However, when estimating interaction effects, there is no need to create a separate interaction term.
  ##Also note, that for this function to work well, you must input factor variables with more than two levels individually (as indiviual dummies).
  
  if(missing(predict.df)){ predict1.df <- mod$model }

13bzhang

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