cmultinommethods: Methods for 'cmultinom' objects

In rferrali/rogali: A series of functions for the corrupt_audit project

Description

Methods for cmultinom objects

Usage

extract.cmultinom(model, include.aic = TRUE, include.loglik = TRUE,
  include.nobs = TRUE, include.nind = T, include.nmun = T,
  level = 0.95, use.ci = T)

## S3 method for class 'cmultinom'
coef(object, ...)

## S3 method for class 'cmultinom'
vcov(object)

## S3 method for class 'cmultinom'
summary(object, ..., digits = 1)

## S3 method for class 'cmultinom'
confint(object, ..., level = c(0.9, 0.95))

## S3 method for class 'cmultinom'
predict(object, newdata, type = c("link", "exp-link",
  "response", "class"), ci.level = c(0.9, 0.95), nSamples = 1000,
  intercept0 = F)

Arguments

include.aic	Should AIC be reported in texreg output?
include.loglik	Should log-likelihood be reported in texreg output?
include.nobs	Should number of observations be reported in texreg output?
include.nind	Should number of individuals be reported in texreg output?
include.nmun	Should number of municipalities be reported in texreg output?
level	levels for confidence intervals
use.ci	Should confidence intervals be reported in texreg output?
...	use to select variables a la select
digits	number of digits to be displayed
newdata	a data.frame in which to look for variables with which to predict
type	the type of prediction required. The default is on the scale of the linear predictors; the alternative "exp-link" exponentiates the linear predictors (e.g. to get odds ratios); "response" returns predicted probabilities to belong in each class; "class" returns the class with highest predicted probabilities.
ci.level	if not NULL, the levels of confidence intervals to be returned with predictions. Only used when type is "link" or "exp-link". If not NULL, then predict returns a tibble of length 2 * nrow(newdata) with predictions and confidence intervals for, in turn, beta1 and beta2.
nSamples	if ci.level is not NULL, number of Monte Carlo samples to be drawn to compute the confidence intervals around predictions.
intercept0	should predictions set the intercept to 0?

rferrali/rogali documentation built on May 26, 2019, 7 p.m.