vcov.mixl {mixl} | R Documentation |
Calculates the Variance-Covariance Matrix of the mixl summary
Description
vcov()
is an S3 method for the summary.mixl class, giving the Variance-Covariance Matrix
Usage
## S3 method for class 'mixl'
vcov(object, eigentol = 1e-12, ...)
Arguments
object |
The summary to print. |
eigentol |
The tolerance value. |
... |
Options to pass to print. |
Examples
data("Train", package="mlogit")
Train$ID <- Train$id
Train$CHOICE <- as.numeric(Train$choice)
mnl_test <- "
U_A = @B_price * $price_A / 1000 + @B_time * $time_A / 60;
U_B = @asc + @B_price * $price_B / 1000 + @B_timeB * $time_B / 60;
"
model_spec <- mixl::specify_model(mnl_test, Train, disable_multicore=T)
#only take starting values that are needed
est <- stats::setNames(c(1, 1,1,1), c("asc", "B_price", "B_time", "B_timeB"))
availabilities <- mixl::generate_default_availabilities(
Train, model_spec$num_utility_functions
)
model2 <- mixl::estimate(model_spec, est, Train, availabilities = availabilities)
print(model2)
[Package mixl version 1.3.4 Index]