simrel: Simulation of Linear Model Data

In Mathatistics/simrel: Simulation of Linear Model Data

Description

Simulates univariate, bivariate and multivariate linear model data where users can specify few parameters for simulating data with wide range of properties.

Simulates univariate linear model data where users can specify few parameters for simulating data with wide range of properties.

Simulates multivariate linear model data where users can specify few parameters for simulating data with wide range of properties.

Simulates multivariate linear model data where users can specify few parameters for simulating data with wide range of properties.

Usage

Simrel

UniSimrel

BiSimrel

MultiSimrel

Arguments

n	Number of training samples
p	Number of predictor variables
q	Number of relevant predictor variables
relpos	Position of relevant predictor components
gamma	Decay factor of eigenvalues of predictor variables
R2	Coefficient of determination
ntest	(Optional) Number of test samples
muX	(Optional) Mean vector of predictor variables
muY	(Optional) Mean vector of response variables
sim.obj	(Optional) Previously fitted simulation object, the parameters will be taken from the object
lambda.min	(Optional) Minimum value that eigenvalues can be
n	Number of training samples
p	Number of predictor variables
q	Number of relevant predictor variables
relpos	Position of relevant predictor components
ypos	Position of response components while rotation (see details)
gamma	Decay factor of eigenvalues of predictor variables
R2	Coefficient of determination
ntest	(Optional) Number of test samples
muX	(Optional) Mean vector of predictor variables
muY	(Optional) Mean vector of response variables
sim.obj	(Optional) Previously fitted simulation object, the parameters will be taken from the object
lambda.min	(Optional) Minimum value that eigenvalues can be
n	Number of training samples
p	Number of predictor variables
q	Number of relevant predictor variables
relpos	Position of relevant predictor components
ypos	Position of response components while rotation (see details)
gamma	Decay factor of eigenvalues of predictor variables
R2	Coefficient of determination
ntest	(Optional) Number of test samples
muX	(Optional) Mean vector of predictor variables
muY	(Optional) Mean vector of response variables
sim.obj	(Optional) Previously fitted simulation object, the parameters will be taken from the object
lambda.min	(Optional) Minimum value that eigenvalues can be
n	Number of training samples
p	Number of predictor variables
q	Number of relevant predictor variables
relpos	Position of relevant predictor components
ypos	Position of response components while rotation (see details)
gamma	Decay factor of eigenvalues of predictor variables
R2	Coefficient of determination
ntest	(Optional) Number of test samples
muX	(Optional) Mean vector of predictor variables
muY	(Optional) Mean vector of response variables
sim.obj	(Optional) Previously fitted simulation object, the parameters will be taken from the object
lambda.min	(Optional) Minimum value that eigenvalues can be

Format

An object of class R6ClassGenerator of length 24.

Value

simrel object (A list)

simrel object (A list)

simrel object (A list)

simrel object (A list)

Mathatistics/simrel documentation built on May 28, 2019, 1:50 p.m.