#' Generate Multivariable Data
#'
#' @param mean List of means
#' @param st_dev List of sds
#' @param corrs List of correlations
#' @param n Number of observations per list.
#'
#' @return Matrix of size sum(n) rows by number of states.
#' @export
get_multivariable_test_data <- function(means = list(
c(0, 1, 5),
c(1, 0, 8)
),
st_devs = list(
c(1.3, 1.2, 1.3),
c(1.3, 1.2, 1.3)
),
corrs = list(
c(0.9, 0.6, 0.7),
c(0.1, 0.2, 0.3)
),
n = c(5000, 10000))
{
do.call(
"rbind",
lapply(
1:length(means),
function(i) {
corr_mtx <- sym_mtx(corrs[[i]], FALSE)
cov_mtx <- diag(st_devs[[i]]) %*% corr_mtx %*% diag(st_devs[[i]])
MASS::mvrnorm(n[i], means[[i]], cov_mtx)
}
)
)
}
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