predict.sbr: Function predict.sbr
In kperrakis/sbr: Sparse and Scalable Bayesian Regression for Linear Models

Description Usage Arguments Value Author(s) References See Also Examples

Predict S3 method for objects of class 'sbr'.

1 2	## S3 method for class 'sbr' predict(object, newdata, coef = "sbr")

`object`	an object of class 'sbr'.
`newdata`	a (standardized) data matrix from which to predict.
`coef`	choose whether to use the SBR beta estimates (default option "sbr") or the SSBR beta estimates (option "ssbr").

Returns a vector of predictions.

Konstanstinos Perrakis konstantinos.perrakis@dzne.de

Sach Mukherjee sach.mukherjee@dzne.de

Perrakis, K., Mukherjee, S. and the Alzheimers Disease Neuroimaging Initiative. (2018) Scalable Bayesian regression in high dimensions with multiple data sources. https://arxiv.org/pdf/1710.00596.pdf

predict

y <- rnorm(100)
X <- matrix(rnorm(100*300), 100, 300)
G <- gram(X)
model <- sbr(y = y, X = X, G = G, sparsify = TRUE)
predict1 <- predict(model, X[1:10, ], coef = 'sbr')
predict2 <- predict(model, X[1:10, ], coef = 'ssbr')