predict.softbart_probit {SoftBart} | R Documentation |
Predict for SoftBart Probit Regression
Description
Computes predictions from a softbart_probit
object for new data.
Usage
## S3 method for class 'softbart_probit'
predict(object, newdata, iterations = NULL, ...)
Arguments
object |
A |
newdata |
A dataset to construct predictions on. |
iterations |
The iterations get predictions on; includes all of iterations including burn-in and thinning iterations. Defaults to the saved iterations, running from |
... |
Other arguments passed to predict. |
Value
A list containing
-
mu
: samples of the nonparametric function for each observation, wherepnorm(mu)
is the success probability. -
mu_mean
: posterior mean of mu. -
p
: samples of the success probabilitypnorm(mu)
for each observation. -
p_mean
: posterior mean ofp
.
[Package SoftBart version 1.0.1 Index]