EMmethods: Methods for 'EM' objects

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

Description

Methods for EM objects

Usage

extract.EM(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 'EM'
coef(object, ...)

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

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

## S3 method for class 'EM'
predict(object, newdata, type = c("posterior"),
  k = object$k)

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. "posterior" returns the posterior probability of having Z = 1.
k	rounding parameter for numerical stability. Rounds to the order of log(-k)

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