summary.pmlr: Summarizing Penalized Multinomial Logistic Model Fits

In jshinb/pmlr:

Description

This function is for class pmlr object.

Usage

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

Arguments

object	an object of class "pmlr", a result of a call to pmlr.
...	further arguments passed to or from other methods

Value

summary.pmlr returns an object of class "summary.pmlr", a list with components

call	the matched call of the object
method	which method was used for hypothesis testing and computation of confidence intervals
coef	an array containing the coefficient estimates, standard errors, and test statistics and their p-values asssociated with the chosen method for the p parameters for the J categories
joint.test	an array contatining the test statistics and p-values from constrained hypothesis tests under all betas = 0, all betas are equal, and betas are proportional.
test.all0.vs.constraint	Returned only if joint hypothesis testing was done: An array containing likelihood ratio test statistics and p-values testing all H_0: betas=0 vs. other constraints (H_C), which can be 'all betas are equal' or 'betas are proportion'.

jshinb/pmlr documentation built on May 20, 2019, 2:08 a.m.