summary.lcm_tree: 'summary.lcm_tree' summarizes the results from 'lcm_tree()'.

In zhenkewu/lotR: Latent class analysis with Observed Trees in R (lotR)

summary.lcm_tree summarizes the results from lcm_tree().

Description

Will have some randomness associated with the upper and lower bounds, because we simulated the Gaussian variables before converting to probabilities.

Usage

## S3 method for class 'lcm_tree'
summary(object, compact = FALSE, B = 10000, ...)

Arguments

object	Output from lcm_tree(). An object of class "lcm_tree".# coeff_type Either "lcm_tree" or "ad_hoc"
compact	If TRUE, a more compact summary of results is printed. Only works well when the dimension of the variables is low (say, < 4); otherwise the table takes up too much horizontal space. Default is FALSE.
B	Default 10000: The number of random multivariate Gaussian for logit of V in stick breaking parameterization; used for obtaining the posterior distribution of pi_v
...	Not used.

Value

see print.lcm_tree()

See Also

Other lcm_tree results: print.lcm_tree(), print.summary.lcm_tree_compact(), print.summary.lcm_tree_long()

zhenkewu/lotR documentation built on April 24, 2022, 2:36 a.m.