predict_bliss {bliss} | R Documentation |
predict_bliss
Description
Compute predictions.
Usage
predict_bliss(x, grids, burnin, posterior_sample, Smooth_estimate)
Arguments
x |
a list containing the design matrices related to the functional
covariates. Must be similar to the result of the function |
grids |
a list of numerical vectors, the qth vector is the grid of time points for the qth functional covariate. |
burnin |
an integer (optional), the number of iteration to drop from the posterior sample. |
posterior_sample |
a list provided by the function |
Smooth_estimate |
one of the objects resulting from |
Value
A vector of predictions for each individual data x
.
Examples
data(data1)
data(param1)
data(res_bliss1)
predict_bliss(data1$x,data1$grids,50,res_bliss1$posterior_sample,res_bliss1$smooth_estimate)
[Package bliss version 1.1.1 Index]