non_parm: Non-parametric method

In optinterv: Optimal Intervention

Description

Calculates weights under I = 1, using the non-parametric method

Usage

non_parm(Y, X, control = NULL, wgt = rep(1, length(Y)), lambda = 100,
  ...)

Arguments

Y	outcome vector (must be numeric without NA's).
X	numeric data frame or matrix of factors to be considered.
control	numeric data frame or matrix of factors to control for. these are factors that we can't consider while looking for the optimal intervention (e.g. race).
wgt	an optional vector of weights.
lambda	the lagrange multiplier. also known as the shadow price of an intervention.
...	additional arguments.

Value

vector of weights under I = 1

optinterv documentation built on March 26, 2020, 7:05 p.m.