cglasso (version 2.0.2)

ColMeans + ColMeans: Calculate Column Means and Vars of a “datacggm” Object

Description

Retrieve column means and column variances of a “datacggm” object.

Usage

ColMeans(x)
ColVars(x)

Arguments

x

an object of class ‘datacggm’.

Value

ColMeans (ColVars) returns a named list with the columns means (variances).

Details

For an R object x of class ‘datacggm’, ColMeans (ColVars) retrieves the column means (variances) of the matrices obtained by getMatrix(x, "Y") and getMatrix(x, "X"). For the response variables, marginal means and variances are estimated using a EM-algorithm under the assumption that the \(p\) response variables are marginally normally distributed (see also Details section in datacggm).

See Also

datacggm, rcggm, qqcnorm and hist.datacggm.

Examples

# NOT RUN {
set.seed(123)
n <- 1000L
p <- 3L
b0 <- rep(0, p)
Z <- rcggm(n = n, b0 = b0, probl = 0.05, probr = 0.05)
ColMeans(Z)
ColVars(Z)

n <- 1000L
p <- 3L
q <- 2
b0 <- runif(p)
B <- matrix(runif(q * p), nrow = q, ncol = p)
X <- matrix(rnorm(n * q), nrow = n, ncol = q)
Z <- rcggm(n = n, b0 = b0, X = X, B = B, probl = 0.05, probr = 0.05)
ColMeans(Z)
ColVars(Z)
# }