predict.aldmck {basicspace} | R Documentation |
predict.aldmck
reads an aldmck
object and uses the estimates to generate a matrix of predicted values.
## S3 method for class 'aldmck' predict(object, caliper=0.2, ...)
object |
A |
caliper |
Caliper tolerance. Any individuals with estimated weights lower than this value are NA'd out for prediction. Since predictions are made by dividing observed values by estimating weights, very small weights will grossly inflate the magnitude of predicted values and lead to extreme predictions. |
... |
Ignored. |
A matrix of predicted values generated from the parameters estimated from a aldmck
object.
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
## Estimate an aldmck object from example and call predict function data(LC1980) result <- aldmck(data=LC1980, polarity=2, respondent=1, missing=c(0,8,9),verbose=TRUE) prediction <- predict.aldmck(result) ## Examine predicted vs. observed values for first 10 respondents ## Note some observations are NA'd in prediction matrix from caliper ## First column of LC1980 are self-placements, which are excluded LC1980[1:10,-1] prediction[1:10,] ## Check correlation across all predicted vs. observed, excluding missing values prediction[which(LC1980[,-1] %in% c(0,8,9))] <- NA cor(as.numeric(prediction), as.numeric(LC1980[,-1]), use="pairwise.complete")