Methods for cmultinom
objects
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | 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)
|
include.aic |
Should AIC be reported in |
include.loglik |
Should log-likelihood be reported in |
include.nobs |
Should number of observations be reported in |
include.nind |
Should number of individuals be reported in |
include.nmun |
Should number of municipalities be reported in |
level |
levels for confidence intervals |
use.ci |
Should confidence intervals be reported in |
... |
use to select variables a la |
digits |
number of digits to be displayed |
newdata |
a |
type |
the type of prediction required. The default is on the scale of the linear predictors; the alternative |
ci.level |
if not |
nSamples |
if |
intercept0 |
should predictions set the intercept to 0? |
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