optim.proxGrad: Proximal gradient algorithm
In bozenne/lava.penalty: Penalized Latent Variable Models
Description
Estimate a penalized lvm model using a proximal gradient algorithm
Usage
1
optim.proxGrad(start, objective, gradient, hessian, control, ...)
Arguments
start
-exported by estimate.lvm
objective
-exported by estimate.lvm
gradient
-exported by estimate.lvm
hessian
-exported by estimate.lvm
control
-exported by estimate.lvm
...
-exported by estimate.lvm
bozenne/lava.penalty documentation built on May 13, 2019, 1:41 a.m.
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Description
Estimate a penalized lvm model using a proximal gradient algorithm
Usage
1 | optim.proxGrad(start, objective, gradient, hessian, control, ...)
|
Arguments
start |
-exported by estimate.lvm |
objective |
-exported by estimate.lvm |
gradient |
-exported by estimate.lvm |
hessian |
-exported by estimate.lvm |
control |
-exported by estimate.lvm |
... |
-exported by estimate.lvm |
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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