Package: kronxNBC 0.1.1

kronxNBC: Clock of Regimes Naive Bayes Classifier (Student-t)

Computes and fits a heavy-tailed Student-t Naive Bayes classifier for non-stationary financial market regime analysis (Clock of Regimes, COR). The core innovation is a profile grid search over the degrees-of-freedom parameter nu that prevents numerical underflow and structural classification failures when identifying fat-tailed Stress regimes. Provides S3 methods for fitting, prediction, summarising, plotting, and parameter extraction.

Authors:Oscar Linares [aut, cre]

kronxNBC_0.1.1.tar.gz
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kronxNBC_0.1.1.tgz(r-4.6-any)kronxNBC_0.1.1.tgz(r-4.5-any)
kronxNBC_0.1.1.tar.gz(r-4.7-any)kronxNBC_0.1.1.tar.gz(r-4.6-any)
kronxNBC_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
kronxNBC/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 2 exports 1 dependencies

Last updated from:a9df2955ae. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK182
linux-release-x86_64OK113
macos-release-arm64OK130
macos-oldrel-arm64OK149
windows-develOK64
windows-releaseOK65
windows-oldrelOK66
wasm-releaseOK104

Exports:student_t_naive_bayestables

Dependencies:naivebayes

Empirical Regime Classification with KRONXnbc

Oscar Linares

Rendered fromempirical-regime-classification.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2026-05-30
Started: 2026-05-30

kronxNBC: Student-t Naive Bayes Classification for Financial Market Regime Detection in R

Oscar Linares

Rendered fromkronxNBC-jss.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2026-05-30
Started: 2026-05-30

Readme and manuals

Help Manual

Help pageTopics
Coefficient extraction for student_t_naive_bayescoef.student_t_naive_bayes
Plot method for student_t_naive_bayesplot.student_t_naive_bayes
Predict method for student_t_naive_bayespredict.student_t_naive_bayes
Print method for student_t_naive_bayesprint.student_t_naive_bayes
Student-t Naive Bayes Classifierstudent_t_naive_bayes
Summary method for student_t_naive_bayessummary.student_t_naive_bayes
Parameter tables for Naive Bayes classifierstables tables.default tables.student_t_naive_bayes