Package: deeptrafo 0.1-1

deeptrafo: Fitting Deep Conditional Transformation Models

Allows for the specification of deep conditional transformation models (DCTMs) and ordinal neural network transformation models, as described in Baumann et al (2021) <doi:10.1007/978-3-030-86523-8_1> and Kook et al (2022) <doi:10.1016/j.patcog.2021.108263>. Extensions such as autoregressive DCTMs (Ruegamer et al, 2022, <doi:10.48550/arXiv.2110.08248>) and transformation ensembles (Kook et al, 2022, <doi:10.48550/arXiv.2205.12729>) are implemented.

Authors:Lucas Kook [aut, cre], Philipp Baumann [aut], David Ruegamer [aut]

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deeptrafo/json (API)

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14 exports 0.00 score 60 dependencies 11 scripts 288 downloads

Last updated 2 years agofrom:49b946f0e2. Checks:OK: 5. Indexed: yes.

Exports:BoxCoxNNColrNNcotramNNCoxphNNdctmdeeptrafofrom_preds_to_trafoLehmanNNLmNNnllontramPolrNNSurvregNNtrafo_control

Dependencies:alabamabackportsbase64encbasefunBBcliconeprojconfigdeepregressiondplyrfansiFormulagenericsglueherejsonlitekeraslatticelifecyclemagrittrMatrixmgcvmltnlmenloptrnumDerivorthopolynompillarpkgconfigpngpolynomprocessxpspurrrquadprogR6rappdirsRcppRcppArmadilloRcppTOMLreticulaterlangrprojrootrstudioapisandwichsurvivaltensorflowtfautographtfprobabilitytfrunstibbletidyselectutf8variablesvctrswhiskerwithryamlzeallotzoo