draw_lm_basic_cont: Draw samples from the basic LM model for continuous outcomes

Description Usage Arguments Value Author(s) Examples

View source: R/draw_lm_basic_cont.R

Description

Function that draws samples from the basic LM model for continuous outcomes with specific parameters.

The function is no longer maintained. Please look at drawLMbasiccont function.

Usage

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draw_lm_basic_cont(piv, Pi, Mu, Si, n)

Arguments

piv

vector of initial probabilities of the latent Markov chain

Pi

set of transition probabilities matrices (k x k x TT)

Mu

matrix of conditional means for the response variables (r x k)

Si

var-cov matrix common to all states (r x r)

n

sample size

Value

Y

array of continuous outcomes (n x TT x r)

Author(s)

Francesco Bartolucci, Silvia Pandolfi, University of Perugia (IT), http://www.stat.unipg.it/bartolucci

Examples

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## Not run: 

# draw a sample for 1000 units and 3 response variable
n <- 1000
TT <- 5
k <- 2
r <- 3 #number of response variables

piv <- c(0.7,0.3)
Pi <- matrix(c(0.9,0.1,0.1,0.9), k, k)
Pi <- array(Pi, c(k, k, TT))
Pi[,,1] <- 0
Mu <- matrix(c(-2,-2,0,0,2,2), r, k)
Si <- diag(r)
out <- draw_lm_basic_cont(piv, Pi, Mu, Si, n)

## End(Not run)

Example output

Loading required package: MASS
Loading required package: MultiLCIRT
Loading required package: limSolve
Loading required package: mvtnorm
Loading required package: mmm
Loading required package: gee
Loading required package: mix
------------|
 sample unit|
------------|
       1000 | 
------------|

LMest documentation built on Oct. 10, 2021, 1:09 a.m.