Decoder-class: Decoder S4 Class
In vmsae: Variational Multivariate Spatial Small Area Estimation
Decoder-class R Documentation
Decoder S4 Class
Description
An S4 class to represent a neural network decoder, used for emulating spatial priors.
The class includes parameters for input and output weight matrices and biases, as well as region identifiers.
Slots
GEOIDA character vector of region or area identifiers.
W_inAn array representing the input weight matrix of the decoder.
B_inAn array representing the input bias vector of the decoder.
W_outAn array representing the output weight matrix of the decoder.
B_outAn array representing the output bias vector of the decoder.
vmsae documentation built on June 21, 2025, 9:07 a.m.
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| Decoder-class | R Documentation |
Decoder S4 Class
Description
An S4 class to represent a neural network decoder, used for emulating spatial priors. The class includes parameters for input and output weight matrices and biases, as well as region identifiers.
Slots
GEOIDA character vector of region or area identifiers.
W_inAn array representing the input weight matrix of the decoder.
B_inAn array representing the input bias vector of the decoder.
W_outAn array representing the output weight matrix of the decoder.
B_outAn array representing the output bias vector of the decoder.
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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