predict.rq.bin: Predictions from rq.bin Objects
In Qtools: Utilities for Quantiles

Description Usage Arguments Details Value Author(s) See Also

This function computes predictions based on fitted binary quantile models.

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## S3 method for class 'rq.bin'
predict(object, newdata, na.action = na.pass,
	type = "latent", grid = TRUE, ...)

`object`	an `rq.counts` object.
`newdata`	an optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.
`na.action`	function determining what should be done with missing values in `newdata`. The default is to predict `NA`.
`type`	the type of prediction required. See details.
`grid`	either a vector of breakpoints or a logical flag. If `TRUE`, the breakpoints are set to `seq(0.05, 0.95, by = 0.05)`. If `FALSE`, the breakpoints are extracted from `object$tau`. At least 2 breakpoints must be provided.
`...`	not used.

If type = "latent" (default), the predictions are for the conditional quantiles of the latent response variable; if type = "probability", the predictions are for the conditional probabilities of the observable response. Note that type = "probability" is possible only when normalize = "last" in rq.bin call. The probabilities are predicted over a grid of values.

a vector or a matrix of predictions.

Marco Geraci

rq.bin, coef.rq.bin

Qtools documentation built on May 2, 2019, 6:09 p.m.