Calculates expected outcome given a single predictor (conditional mean) using a nonparametric kernel estimator
pred.smooth(zz, zi.one, bw = NULL, y1, weight = NULL)
predictor; conditional mean function is applied to this predictor to produce predicted outcome
predictor; used to estimate conditional mean function (often same as zz)
bandwidth
outcome
weight
expected outcome given predictor
Parast, L and Griffin, BA (2020). "Quantifying the Bias due to Observed Individual Confounders in Causal Treatment Effect Estimates." Statistics in Medicine, In press.