Extract.BayesMfp | R Documentation |
Extract a subset of models from a BayesMfp
object.
## S3 method for class 'BayesMfp'
x[...]
x |
valid |
... |
transports the indexes of the models |
Daniel Saban\'es Bov\'e
BayesMfp
## generate a BayesMfp object
set.seed(19)
x1 <- rnorm(n=15)
x2 <- rbinom(n=15, size=20, prob=0.5)
x3 <- rexp(n=15)
y <- rt(n=15, df=2)
test <- BayesMfp(y ~ bfp (x2, max = 4) + uc (x1 + x3), nModels = 100,
method="exhaustive")
## extract the top ten models
test[1:10]
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