lqmm: predict.lqm – R documentation

Pricing

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

Get Started for Free

Documentation

lqmm

predict.lqm

Predictions from LQM Objects

Description

This function computes predictions based on fitted linear quantile model.

Usage

## S3 method for class 'lqm'
predict(object, newdata, interval = FALSE,
	level = 0.95, na.action = na.pass, ...)
## S3 method for class 'lqm.counts'
predict(object, newdata,
	na.action = na.pass, ...)

Arguments

`object`	an `lqm` or `lqm.counts` object.
`newdata`	an optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.
`interval`	logical flag. If `TRUE`, bootstrap percentile intervals for predictions are provided. This argument is for `lqm` objects only.
`level`	confidence level. This argument is for `lqm` objects only.
`na.action`	function determining what should be done with missing values in `newdata`. The default is to predict `NA`.
`...`	further arguments passed to `boot.lqm`.

Value

a vector or a matrix or an array of predictions.

Author(s)

Marco Geraci