altered | R Documentation |

Return the altered, inflated, truncated and deflated values in a GAITD regression object, else test whether the model is altered, inflated, truncated or deflated.

altered(object, ...) inflated(object, ...) truncated(object, ...) is.altered(object, ...) is.deflated(object, ...) is.inflated(object, ...) is.truncated(object, ...)

`object` |
an object of class |

`...` |
any additional arguments, to future-proof this function. |

Yee and Ma (2021) propose GAITD regression where values
from four
(or seven since there are parametric and nonparametric forms)
disjoint sets are referred to as *special*.
These extractor functions return one set each;
they are the `alter`

, `inflate`

, `truncate`

,
`deflate`

(and sometimes `max.support`

)
arguments from the family function.

Returns one type of ‘special’ sets associated with GAITD regression.
This is a vector, else a list for truncation.
All three sets are returned by `specialsvglm`

.

Some of these functions are subject to change.
Only family functions beginning with `"gaitd"`

will
work with these functions, hence
`zipoisson`

fits will return `FALSE`

or empty
values.

Yee, T. W. and Ma, C. (2022).
Generally–altered, –inflated, –truncated and –deflated
regression, with application to heaped and seeped data.
*In preparation*.

`vglm`

,
`vglm-class`

,
`specialsvglm`

,
`gaitdpoisson`

,
`gaitdlog`

,
`gaitdzeta`

,
`Gaitdpois`

.

abdata <- data.frame(y = 0:7, w = c(182, 41, 12, 2, 2, 0, 0, 1)) fit1 <- vglm(y ~ 1, gaitdpoisson(a.mix = 0), data = abdata, weight = w, subset = w > 0) specials(fit1) # All three sets altered(fit1) # Subject to change inflated(fit1) # Subject to change truncated(fit1) # Subject to change is.altered(fit1) is.inflated(fit1) is.truncated(fit1)

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