true.data.generation: True Data Generation

In fadedsoul/cdml: CDML

Description

True Data Generation

Usage

true.data.generation(numOfCovariates = 2,
  distributionForCovariates = "normal", distributionForNoise = "normal",
  distributionForTreatment = "normal", parametricCurveOption = "polynom",
  trimLowerBound = -4, trimUpperBound = 4, nrep = 1e+06)

Arguments

numOfCovariates	dimension of covariates
distributionForCovariates	default = "normal", choose from normal, student, uniform distributions
distributionForNoise	default = "normal", choose from normal, student, uniform distributions
distributionForTreatment	default = "normal", choose from normal, student, uniform distributions
parametricCurveOption	default = "linear", choose from "linear", "polynom", "polynom2", "polynom3", "mixture"
trimLowerBound	the lower bound of trimming treatment vector
trimUpperBound	the upper bound of trimming treatment vector
nrep	default = 1000000, numerically calculate the true density by setting equi-distant nrep sample points for approximation

Value

a list of true response value "true.y" evaluated at "grid", with treatment density "density".

fadedsoul/cdml documentation built on May 14, 2019, 8:01 a.m.