Altered, Inflated and Truncated Values in GAIT Regression

Description

Return the altered, inflated and truncated values in a GAIT regression from a fitted object

Usage

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

Arguments

Details

Yee and Ma (2020) propose GAIT regression where values from three disjoint sets are referred to as special. These extractor functions return one set each; they are the alter, inflate, truncate (and sometimes max.support) arguments from the family function.

Value

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

References

Yee, T. W. and Ma, C. (2020). Generally–altered, –inflated and –truncated regression, with application to heaped and seeped count data. In preparation.

See Also

vglm, vglm-class, specialsvglm, gaitpoisson.mix, gaitlog.mix.

Examples

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