summary.mixl: Create a model summary

In mixl: Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets

Description

summary() is an S3 method for the class mixl, which adds metrics of goodness of fit

Usage

## S3 method for class 'mixl'
summary(object, ...)

Arguments

object	The mixl output to summarize.
...	Options to pass to summarize (currently).

Value

A summary object for a mixl model

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)

mixl documentation built on Dec. 11, 2021, 9:07 a.m.