summary.cdfqrH {cdfquantreg}R Documentation

S3 Methods for getting output from fitted cdfqrr Objects.

Description

Give S3 Methods for CDF-Quantile Distribution Models

Usage

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

## S3 method for class 'cdfqrH'
print(x, digits = max(3, getOption("digits") - 3), ...)

## S3 method for class 'cdfqrH'
logLik(object, ...)

## S3 method for class 'cdfqrH'
nobs(object, ...)

## S3 method for class 'cdfqrH'
deviance(object, ...)

## S3 method for class 'cdfqrH'
coef(object, type = c("full", "mean", "sigma", "zero", "one"), ...)

## S3 method for class 'cdfqrH'
vcov(object, type = c("full", "mean", "sigma", "zero", "one"), ...)

## S3 method for class 'cdfqrH'
update(object, formula., zero.fo., one.fo., ..., evaluate = TRUE)

## S3 method for class 'cdfqrH'
formula(x, ...)

## S3 method for class 'cdfqrH'
confint(
  object,
  parm,
  level = 0.95,
  type = c("full", "mean", "sigma", "zero", "one"),
  ...
)

Arguments

object

The fitted cdfqrH model.

...

Pass onto other functions or currently ignored

x

The fitted cdfqrH model.

digits

Number of digits to be retained in printed output.

type

The parts of coefficients or variance-covariance matrix to be extracted.Can be "full", "mean",or "sigma".

formula.

Changes to the formula. See update.Formula for details.

zero.fo.

Changes to the formula for the zero component, only input as ~ predictors. See update.Formula for details.

one.fo.

Changes to the formula for the one component, only input as ~ predictors. See update.Formula for details.

evaluate

If true evaluate the new updated model else return the call for the new model.

parm

a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.

level

the confidence level required.

Examples

data(cdfqrHExampleData)
ipcc_mid <- subset(IPCC, mid == 1 & high == 0)
fit <- cdfquantregH(prob ~ valence | valence, zero.fo = ~valence,
  one.fo = ~valence,
  fd ='t2',sd ='t2', type = "ZO", data = ipcc_mid)

summary(fit)
print(fit)
logLik(fit)
coef(fit)
deviance(fit)
vcov(fit)
confint(fit)



[Package cdfquantreg version 1.2.5 Index]