mhurdle.methods function

Methods for mhurdle fitted objects

specific predict, fitted, coef, vcov, summary, ... for mhurdle objects. In particular, these methods enables to extract the several parts of the model

## S3 method for class 'mhurdle'
coef(
  object,
  which = c("all", "h1", "h2", "h3", "h4", "sd", "corr", "tr", "pos"),
  ...
)

## S3 method for class 'mhurdle'
vcov(
  object,
  which = c("all", "h1", "h2", "h3", "h4", "sd", "corr", "tr", "pos"),
  ...
)

## S3 method for class 'mhurdle'
logLik(object, naive = FALSE, ...)

## S3 method for class 'mhurdle'
print(
  x,
  digits = max(3, getOption("digits") - 2),
  width = getOption("width"),
  ...
)

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

## S3 method for class 'summary.mhurdle'
coef(
  object,
  which = c("all", "h1", "h2", "h3", "sd", "corr", "tr", "pos"),
  ...
)

## S3 method for class 'summary.mhurdle'
print(
  x,
  digits = max(3, getOption("digits") - 2),
  width = getOption("width"),
  ...
)

## S3 method for class 'mhurdle'
fitted(object, which = c("all", "zero", "positive"), mean = FALSE, ...)

## S3 method for class 'mhurdle'
predict(object, newdata = NULL, what = c("E", "Ep", "p"), ...)

## S3 method for class 'mhurdle'
update(object, new, ...)

## S3 method for class 'mhurdle'
nobs(object, which = c("all", "null", "positive"), ...)

## S3 method for class 'mhurdle'
effects(
  object,
  covariate = NULL,
  data = NULL,
  what = c("E", "Ep", "p"),
  reflevel = NULL,
  mean = FALSE,
  ...
)

Arguments

• object, x: an object of class "mhurdle",
• which: which coefficients or covariances should be extracted ? Those of the selection ("h1"), consumption ("h2") or purchase ("h3") equation, the other coefficients "other" (the standard error and the coefficient of corr), the standard error ("sigma") or the coefficient of correlation ("rho"),
• ...: further arguments.
• naive: a boolean, it TRUE, the likelihood of the naive model is returned,
• digits: see print,
• width: see print,
• mean: if TRUE, the mean of the effects is returned,
• newdata, data: a data.frame for which the predictions or the effectsshould be computed,
• what: for the predict and the effects method, the kind of prediction, one of E Ep and p (respectively for expected values in the censored sample, expected values in the truncated sample and probability of positive values),
• new: an updated formula for the update method,
• covariate: the covariate for which the effect has to be computed,
• reflevel: for the computation of effects for a factor, the reference level,