simus: Simulated datasets

In chavent/modvarsel: Implements a computational methodology for model and variables selection

Description

Simulated data generated from two fictitious model: a parametric linear model (M1) and a semiparametric model (M2). The vector of parameters associated with each covariate (in both models) gives only the five first covariates linked with the response variable.

Format

A list with the following elements:

X

a numerical matrix with n=200 realisations of the p=15 covariates generated independantly with uniform distributions.

Y1

the response vector of size 200 obtained from X with the model (M1)

Y2

the response vector of size 200 obtained from X with the model (M2)

Xnew

a numerical matrix of n=10 new observations (not used to build the response vectors) of the p=15 covariates

res1

results of the choicemod function with Y1 as response variable (M1)

res2

results of the choicemod function with Y2 as response variable (M2)

Source

https://chavent.github.io/modvarsel/modvarsel-intro.html

chavent/modvarsel documentation built on May 22, 2019, 2:22 p.m.