predict.lqm: Predictions from LQM Objects

In lqmm: Linear Quantile Mixed Models

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

See Also

residuals.lqm, residuals.lqm.counts, lqm, lqm.counts, coef.lqm, boot.lqm

lqmm documentation built on May 2, 2019, 4:46 p.m.