draw_lm_basic: Draw samples from the basic LM model

In LMest: Generalized Latent Markov Models

Draw samples from the basic LM model

Description

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

The function is no longer maintained. Please look at draw.LMbasic function.

Usage

draw_lm_basic(piv, Pi, Psi, n)

Arguments

piv	vector of initial probabilities of the latent Markov chain
Pi	set of transition probabilities matrices (k x k x TT)
Psi	array of conditional response probabitlies (mb x k x r)
n	sample size

Value

Y	matrix of response configurations unit by unit
S	matrix of distinct response configurations
yv	corresponding vector of frequencies

Author(s)

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

Examples

## Not run: 
# draw a sample for 1000 units and only one response variable
n <- 1000
TT <- 6
k <- 2
r <- 1 #number of response variables
mb <- 3 #maximum number of response categories

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
Psi <- matrix(c(0.7,0.2,0.1,0.5,0.4,0.1), mb, k)
Psi <- array(Psi, c(mb, k, r))
out <- draw_lm_basic(piv, Pi, Psi, n = 1000)

## End(Not run)

LMest documentation built on April 3, 2025, 10:26 p.m.