predict.blackbox {basicspace} R Documentation

## Predict method of blackbox objects

### Description

predict.blackbox reads an blackbox object and uses the estimates to generate a matrix of predicted values.

### Usage

  ## S3 method for class 'blackbox'
predict(object, dims=1, ...)


### Arguments

 object A blackbox output object. dims Number of dimensions used in prediction. Must be equal to or less than number of dimensions used in estimation. ... Ignored.

### Value

A matrix of predicted values generated from the parameters estimated from a blackbox object.

### Author(s)

Keith Poole ktpoole@uga.edu

Howard Rosenthal hr31@nyu.edu

Jeffrey Lewis jblewis@ucla.edu

James Lo lojames@usc.edu

Royce Carroll rcarroll@rice.edu

### See Also

'blackbox', 'Issues1980'

### Examples

## Estimate blackbox object from example and call predict function
data(Issues1980)
Issues1980[Issues1980[,"abortion1"]==7,"abortion1"] <- 8	#missing recode
Issues1980[Issues1980[,"abortion2"]==7,"abortion2"] <- 8	#missing recode

### This command conducts estimates, which we instead load using data()
# Issues1980_bb <- blackbox(Issues1980,missing=c(0,8,9),verbose=FALSE,dims=3,minscale=8)
data(Issues1980_bb)
prediction <- predict.blackbox(Issues1980_bb,dims=3)

## Examine predicted vs. observed values for first 10 respondents
## Note that 4th and 6th respondents are NA because of missing data
Issues1980[1:10,]
prediction[1:10,]

## Check correlation across all predicted vs. observed, excluding missing values
prediction[which(Issues1980 %in% c(0,8,9))] <- NA
cor(as.numeric(prediction), as.numeric(Issues1980), use="pairwise.complete")


[Package basicspace version 0.24 Index]