iqspr (version 2.3)

use_linearBayes: get the prediction from a Bayesian linear regression

Description

Get the prediction from a Bayesian linear regression. For a prediction other than from a Bayesian linear model, see use_Model.

Usage

use_linearBayes(newx = NULL, model = NULL)

Arguments

newx

is a matrix of features (e.g. fingerprints and/or physical descriptors), issued from a test/validation set, for which the properties (e.g. targeted chemical properties) are predicted.

model

is the set of parameters defining a trained Bayesian linear regression model, issued from get_linearBayes, to be used as a predictor.

Value

the predicted properties with associated variance.

Examples

# NOT RUN {
linearBayes_pred <- use_linearBayes(newx = newx,
model = c(list(w0),list(V0_inv),list(a0),list(b0)))
# }
# NOT RUN {
# }