datagen {longke}R Documentation

Simulate longitudinal data

Description

Function used to simulate sample sparse and irregular longitudinal data

Usage

datagen(ntotal,ntest,t_all,t_split,seed)

Arguments

ntotal

Number of total longitudinal subjects

ntest

Number of total longitudinal subjects in the testing set

t_all

Vector of discrete measurement time (i.e 1,2,3,4,...)

t_split

A measurement time where the longitudinal response is of interest to predict after this t_split

seed

Seed to derive replicable data

Value

A list containing two elements

train

A long format data matrix containing one functional response (yy) and two functional predictors (xx,zz) with (ntotal-ntest) subjects

test

A long format data matrix containing one functional response (yy) and two functional predictors (xx,zz) with (ntest) subjects

Examples

data = datagen(ntotal=350,ntest=50,t_all=1:50,t_split=25,seed=1)
data$test
data$train

[Package longke version 0.1.0 Index]