generate_data: Generating Original Data

In statmlhb/CVEK: Cross-Validated Kernel Ensemble

Description

Generate original data based on specific kernels.

Usage

generate_data(n, fixed_num = 1, label_names = NULL, method = "rbf",
  l = 1, d = 2, int_effect = 0, eps = 0.01)

Arguments

n	(integer) A numeric number specifying the number of observations.
fixed_num	(integer) A numeric number specifying the dimension of fixed effects.
label_names	(list) A character string indicating all the interior variables included in each group of random effects.
method	(character) A character string indicating which kernel is to be computed.
l	(numeric) A numeric number indicating the hyperparameter (flexibility) of a specific kernel.
d	(integer) For polynomial, d is the power; for matern, v = d + 1 / 2; for rational, alpha = d.
int_effect	(numeric) A numeric number specifying the size of interaction.
eps	(numeric) A numeric number indicating the size of noise of fixed effects.

Details

This function generates with a specific dataset. The argument int_effect represents the strength of interaction of random effects relative to the main random effects since all sampled functions have been standardized to have unit norm.

Value

data	(dataframe, n*(p+q)) A dataframe to be fitted.

Author(s)

Wenying Deng

Examples

mydata <- generate_data(n = 100, fixed_num = 1, label_names =
list(Z1 = c("z1", "z2"), Z2 = c("z3", "z4")),
method = "rbf", l = 1, d = 2, int_effect = 0, eps = .01)

statmlhb/CVEK documentation built on May 5, 2019, 3:47 a.m.