disttree.family: Family List Generating Functions
In disttree: Trees and Forests for Distributional Regression

Description Usage Arguments Details Value See Also Examples

The functions dist_gaussian, dist_crch, dist_exponential, dist_weibull, dist_gamma and dist_poisson generate a distribution family object of class disttree.family with all the required elements to fit a distribution in distfit.

Complete distribution family lists are provided for example by dist_list_normal and dist_list_cens_normal.

  dist_gaussian()
  dist_crch(dist = c("gaussian", "logistic"), truncated = FALSE,
            type = c("left", "right", "interval"), censpoint = 0)
  dist_exponential()
  dist_weibull()
  dist_gamma()
  dist_poisson()

`dist`	`character`. Either a gaussian ('gaussian') or a logistic ('logistic') distribution can be selected.
`truncated`	`logical`. If TRUE truncated family list is generated with 'censpoint' interpreted as truncation points, If FALSE censored family list is generated. Default is FALSE
`type`	`character`. Type of censoring can be selectes ('left', 'right' or 'interval')
`censpoint`	`numeric`. Censoring point can be set (per default set to 0).

The functions dist_gaussian, dist_crch, dist_exponential, dist_weibull, dist_gamma and dist_poisson generate a distribution family list with all the required elements to fit a distribution in distfit. These lists include a density function, a score function, a hessian function, starting values, link functions and inverse link functions.

Complete distribution family lists are provided for example by dist_list_normal and dist_list_cens_normal for the normal and censored normal distribution respectively.

These functions return a family of class disttree.family with functions of the corresponding distribution family as required by distfit, disttree, and distforest.

distfamily