Build the prediction design matrix based on new data and model_matrices object created by make_matrices

Build the prediction design matrix based on new data and model_matrices object created by make_matrices

Usage

# S3 method for class 'LaMa_matrices'
predict(model_matrices, newdata)

Arguments

model_matrices

model_matrices object as returned from make_matrices

newdata

data frame containing the variables in the formula and new data for which to evaluate the basis # @param exclude optional vector of terms to set to zero in the predicted design matrix. Useful for predicting main effects only when e.g. sd(..., bs = "re") terms are present. See mgcv::predict.gam for more details.

Value

prediction design matrix for newdata with the same basis as used for model_matrices

Examples

modmat = make_matrices(~ s(x), data.frame(x = 1:10))
Z_predict = predict(modmat, data.frame(x = 1:10 - 0.5))