data.generation: Data Generation

In fadedsoul/cdml: CDML

Description

Data Generation

Usage

data.generation(model = "CTE", numOfSamples = 1000,
  numOfPreSamples = NULL, numOfCovariates = 2,
  distributionForCovariates = "normal", distributionForIVs = "normal",
  distributionForNoise = "normal", distributionForTreatment = "normal",
  parametricCurveOption = "linear", trimLowerBound = -10,
  trimUpperBound = 10, sd, noise.sd = 1)

Arguments

model	choose from "CTE", "IV"
numOfSamples	numer of samples, default = 1000.
numOfPreSamples	number of samples before sample trimming. As default, we set this as NULL
numOfCovariates	dimension of covariates, default = 2.
distributionForCovariates	choose from normal, uniform, student distributions.
distributionForIVs	choose from normal, uniform, student distributions.
distributionForNoise	choose from normal, uniform, student distributions.
distributionForTreatment	choose from normal, uniform, student distributions.
parametricCurveOption	choose from "linear", "polynom", "polynom2", "polynom3", "mixture".
trimLowerBound	the lower bound of treatment trimming t.
trimUpperBound	the upper bound of treatment trimming t.
sd	t = ∑ x_i + ε, the standard error of ε
noise.sd	the standard error of response generation assuming the response model is based on a normal distribution

Value

frame of generated data.

Examples

data.generation(model = "CTE", numOfSamples = 1000,
numOfCovariates = 2,
distributionForCovariates = "normal",
distributionForNoise = "normal",
distributionForTreatment = "normal",
parametricCurveOption = "linear",
trimLowerBound = -10,
trimUpperBound = 10,
sd = 8)

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