draw_lm_basic_cont {LMest} | R Documentation |
Draw samples from the basic LM model for continuous outcomes
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The function is no longer maintained.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
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
## 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)
[Package LMest version 3.1.2 Index]