Predict using basset
Usage
# S3 method for class 'bassetfit'
predict(
object,
newdata = NULL,
response = "Lambda",
size = NULL,
use_names = TRUE,
summary = FALSE,
iter = NULL,
from_scratch = FALSE,
...
)Arguments
- object
An object of class pibblefit
- newdata
An optional matrix for which to evaluate prediction.
- response
Options = "Lambda":Mean of regression, "Eta", "Y": counts
- size
the number of counts per sample if response="Y" (as vector or matrix), default if newdata=NULL and response="Y" is to use colsums of m$Y. Otherwise uses median colsums of object$Y as default. If passed as a matrix should have dimensions ncol(newdata) x iter.
- use_names
if TRUE apply names to output
- summary
if TRUE, posterior summary of predictions are returned rather than samples
- iter
number of iterations to return if NULL uses object$iter
- from_scratch
should predictions of Y come from fitted Eta or from predictions of Eta from posterior of Lambda? (default: false)
- ...
other arguments passed to summarise_posterior