nll: Generic negative log-likelihood for transformation models
In deeptrafo: Fitting Deep Conditional Transformation Models
nll R Documentation
Generic negative log-likelihood for transformation models
Description
Generic negative log-likelihood for transformation models
Usage
nll(latent_distr)
Arguments
latent_distr
Target distribution, character or
tfd_distribution. If character, can be either "logistic",
"normal", "gumbel", "gompertz".
Value
A function for computing the negative log-likelihood of a
neural network transformation model with generic response.
deeptrafo documentation built on April 3, 2025, 10:38 p.m.
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| nll | R Documentation |
Generic negative log-likelihood for transformation models
Description
Generic negative log-likelihood for transformation models
Usage
nll(latent_distr)
Arguments
latent_distr |
Target distribution, character or
|
Value
A function for computing the negative log-likelihood of a neural network transformation model with generic response.
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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