predict.summary.ddt_lcm {ddtlcm} | R Documentation |
Prediction of class memberships from posterior summaries
Description
Predict individual class memberships based on posterior summary (point estimates of model parameters). The predicted class memberships are modal assignments.
Usage
## S3 method for class 'summary.ddt_lcm'
predict(object, data, ...)
Arguments
object |
a "summary.ddt_lcm" object |
data |
an NxJ matrix of multivariate binary responses, where N is the number of individuals, and J is the number of granular items |
... |
Further arguments passed to each method |
Value
a list of the following named elements:
class_assignments
an integer vector of individual predicted class memberships taking values in 1, ..., K
predictive_probs
a N x K matrix of probabilities, where the (i,k)-th element is the probability that the i-th individual is predicted to belong to class k.
Examples
data(result_diet_1000iters)
burnin <- 500
summarized_result <- summary(result_diet_1000iters, burnin, relabel = TRUE, be_quiet = TRUE)
predicted <- predict(summarized_result, result_diet_1000iters$data)
[Package ddtlcm version 0.2.1 Index]