cens.p {gamlss.cens}R Documentation

Censored Cumulative Probability Density Function of a gamlss.family Distribution

Description

Creates a cumulative density function from a current gamlss.family distribution suitable for censored or interval response variable data.

Usage

cens.p(family = "NO", type = c("right", "left", "interval"), ...)

Arguments

family

a gamlss.family object, which is used to define the distribution and the link functions of the various parameters. The distribution families supported by gamlss() can be found in gamlss.family.

type

whether right, left or in interval censoring is required, (right is the default)

...

for extra arguments

Details

This function is used to calculate the quantile residuals for censored data distributions. This function is not supposed to be used on its own but it is used in the function gen.cens.

Value

Returns a modified p family function. The argument of the original function d function are the same.

Note

For an example see gen.cens()

Author(s)

Mikis Stasinopoulos d.stasinopoulos@londonmet.ac.uk and Bob Rigby r.rigby@londonmet.ac.uk

References

Rigby, R. A. and Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape,(with discussion), Appl. Statist., 54, part 3, 1-38.

Rigby, R. A., Stasinopoulos, D. M., Heller, G. Z., and De Bastiani, F. (2019) Distributions for modeling location, scale, and shape: Using GAMLSS in R, Chapman and Hall/CRC. An older version can be found in https://www.gamlss.com/.

Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, Vol. 23, Issue 7, Dec 2007, https://www.jstatsoft.org/v23/i07/.

Stasinopoulos D. M., Rigby R.A., Heller G., Voudouris V., and De Bastiani F., (2017) Flexible Regression and Smoothing: Using GAMLSS in R, Chapman and Hall/CRC.

(see also https://www.gamlss.com/).

See Also

cens.d, gen.cens

Examples

#see the help for function cens for an example

[Package gamlss.cens version 5.0-7 Index]