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deeptrafo  

Fitting Deep Conditional Transformation Models
View on CRAN: Click here


Download and install deeptrafo package within the R console
Install from CRAN:
install.packages("deeptrafo")

Install from Github:
library("remotes")
install_github("cran/deeptrafo")

Install by package version:
library("remotes")
install_version("deeptrafo", "1.0-0")



Attach the package and use:
library("deeptrafo")
Maintained by
Lucas Kook
[Scholar Profile | Author Map]
First Published: 2022-11-18
Latest Update: 2022-11-22
Description:
Allows for the specification of deep conditional transformation models (DCTMs) and ordinal neural network transformation models, as described in Baumann et al (2021) and Kook et al (2022) . Extensions such as autoregressive DCTMs (Ruegamer et al, 2022, ) and transformation ensembles (Kook et al, 2022, ) are implemented.
How to cite:
Lucas Kook (2022). deeptrafo: Fitting Deep Conditional Transformation Models. R package version 1.0-0, https://cran.r-project.org/web/packages/deeptrafo. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1-1 (2022-11-22 10:50), 0.1 (2022-11-18 10:30)
Other packages that cited deeptrafo R package
View deeptrafo citation profile
Other R packages that deeptrafo depends, imports, suggests or enhances
Complete documentation for deeptrafo
Functions, R codes and Examples using the deeptrafo R package
Some associated functions: BoxCoxNN . ColrNN . CoxphNN . LehmanNN . LmNN . PolrNN . SurvregNN . atm_init . cotramNN . dctm . deeptrafo . ensemble.deeptrafo . from_preds_to_trafo . h1_init . methodTrafo . nll . ontram . trafo_control . 
Some associated R codes: alias-deeptrafo.R . callbacks.R . controls.R . ensembles.R . helperfuns.R . main.R . methods.R . processor.R . response.R .  Full deeptrafo package functions and examples
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