Package: BioMoR 0.1.0

BioMoR: Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble

Provides tools for bioinformatics modeling using recursive transformer-inspired architectures, autoencoders, random forests, XGBoost, and stacked ensemble models. Includes utilities for cross-validation, calibration, benchmarking, and threshold optimization in predictive modeling workflows.

Authors:MD. Arshad [aut, cre]

BioMoR_0.1.0.tar.gz
BioMoR_0.1.0.zip(r-4.7-any)BioMoR_0.1.0.zip(r-4.6-any)BioMoR_0.1.0.zip(r-4.5-any)
BioMoR_0.1.0.tgz(r-4.6-any)BioMoR_0.1.0.tgz(r-4.5-any)
BioMoR_0.1.0.tar.gz(r-4.7-any)BioMoR_0.1.0.tar.gz(r-4.6-any)
BioMoR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BioMoR/json (API)

# Install 'BioMoR' in R:
install.packages('BioMoR', repos = c('https://sulkysubject37.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sulkysubject37/biomor/issues

On CRAN:

Conda:

autoencoderbenchmarkingbioinformaticscalibrationdeep-learningensemble-learningfeaturemachine-learningmixture-of-recursions

4.18 score 5 scripts 274 downloads 9 exports 78 dependencies

Last updated from:d6f15437d1. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR254
source / vignettesOK180
linux-releaseERROR196
macos-releaseERROR176
macos-oldrelERROR113
windows-develERROR244
windows-releaseERROR329
windows-oldrelERROR292
wasm-releaseOK127

Exports:biomor_benchmarkbrier_scorecompute_f1_thresholdget_cv_controlget_embeddingsprepare_model_datatrain_autoencodertrain_rftrain_xgb_caret

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RANNRColorBrewerRcpprecipesreshape2rlangROSErpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivalthemistibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrxgboost

BioMoR Autoencoder
title: "BioMoR Autoencoder and Embeddings"output: rmarkdown::html_vignettevignette: >%\VignetteIndexEntry
Rendered frombiomor-autoencoder.Rmdusingknitr::rmarkdown

Last update: 2025-09-21
Started: 2025-09-21

BioMoR Benchmarking
title: "BioMoR Benchmarking Tutorial"output: rmarkdown::html_vignettevignette: >%\VignetteIndexEntry
Rendered frombiomor-benchmarking.Rmdusingknitr::rmarkdown

Last update: 2025-09-21
Started: 2025-09-21

Introduction to BioMoR
Rendered frombiomor-intro.Rmdusingknitr::rmarkdown

Last update: 2025-09-21
Started: 2025-09-21