summary.nlcm_doubletree: 'summary.nlcm_doubletree' summarizes the results from...

In zhenkewu/doubletree: Nested Latent Class Models for Domain-Adaptive and Semisupervised Learning of Cause-of-Deaths using Verbal Autopsy

summary.nlcm_doubletree summarizes the results from nlcm_doubletree().

Description

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

Usage

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

Arguments

object	Output from nlcm_doubletree(); of class nlcm_doubletree 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 ⁠lambda^(c,g)_k⁠
...	Not used.

Value

see print.nlcm_doubletree()

See Also

Other nlcm_doubletree results: print.summary.nlcm_doubletree_compact(), print.summary.nlcm_doubletree_long()

zhenkewu/doubletree documentation built on Oct. 21, 2023, 7:04 a.m.