predict_matrix_tensor_smooth_ga: Predict matrix tensor smooth (GA)
In dampack: Decision-Analytic Modeling Package
Description
Function to compute the preposterior for each of the
basis functions for one or more parameters and calculates
the tensor product if more than one parameter is selected
(Heavily based on function Predict.matrix.tensor.smooth from
mgcv package)
Usage
1
2
3
4
5
predict_matrix_tensor_smooth_ga(
object,
param_vals,
vrf = rep(1, ncol(param_vals))
)
Value
tensor product based on list of pre-posterior distributions
dampack documentation built on May 31, 2021, 1:06 a.m.
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Description
Function to compute the preposterior for each of the basis functions for one or more parameters and calculates the tensor product if more than one parameter is selected (Heavily based on function Predict.matrix.tensor.smooth from mgcv package)
Usage
1 2 3 4 5 | predict_matrix_tensor_smooth_ga(
object,
param_vals,
vrf = rep(1, ncol(param_vals))
)
|
Value
tensor product based on list of pre-posterior distributions
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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