re_layers: random effect layer
In deepregression: Fitting Deep Distributional Regression
re_layer R Documentation
random effect layer
Description
random effect layer
trainable penalty layer
Usage
re_layer(units, ...)
pen_layer(units, P, ...)
Arguments
units
integer; number of units
...
arguments passed to TensorFlow layer
P
penalty matrix
Value
layer object
layer object
deepregression documentation built on Sept. 9, 2025, 5:27 p.m.
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| re_layer | R Documentation |
random effect layer
Description
random effect layer
trainable penalty layer
Usage
re_layer(units, ...)
pen_layer(units, P, ...)
Arguments
units |
integer; number of units |
... |
arguments passed to TensorFlow layer |
P |
penalty matrix |
Value
layer object
layer object
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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