best_models {MCMCprecision} | R Documentation |
Precision for the k Best-Performing Models
Description
Assesses the precision in estimating the ranking of the k
best-performing models.
Usage
best_models(samples, k, ties.method = "min")
Arguments
samples |
a matrix with posterior samples (one per row) for the model posterior probabilities (one model per column). Can be estimated using |
k |
number of best-performing models to be considered |
ties.method |
a character string specifying how ties are treated, see |
Examples
# a sequence of uncorrelated model indices
mult <- rmultinom(1000, 1, c(.05, .6, .15, .12, .08))
idx <- apply(mult, 2, which.max)
z <- letters[idx]
stat <- stationary(z, summary = FALSE)
best_models(stat, 3)
[Package MCMCprecision version 0.4.0 Index]