The Markov chain samples (without warmup) included in a htlr.fit
object will be coerced to a matrix.
# S3 method for htlr.fit as.matrix(x, k = NULL, include.warmup = FALSE, ...)
x | An object of S3 class |
---|---|
k | Coefficients associated with class |
include.warmup | Whether or not to include warmup samples |
... | Not used. |
A matrix with (p + 1)
columns and i
rows, where p
is the number of features
excluding intercept, and i
is the number of iterations after burnin.
## No. of features used: 100; No. of iterations after burnin: 15 fit <- htlr(X = colon$X, y = colon$y, fsel = 1:100, iter = 20, warmup = 5) dim(as.matrix(fit))#> [1] 15 101