https://celebithil.r-universe.devRecent package updates in celebithilR-universehttps://github.com/celebithil.pnghttps://celebithil.r-universe.devThu, 09 Jul 2026 17:26:09 GMTpopov.daniil@gmail.com (Daniil Popov)Implements the Shimazaki-Shinomoto method for optimizing the bin width of histograms and the bandwidth of kernel density estimators. The framework minimizes the expected Mean Integrated Squared Error (MISE) and supports both 1D and 2D distributions, fixed and locally adaptive estimators, bootstrap confidence intervals, and 'OpenMP'-accelerated 'C++' 'backends'. Ideally suited for time-dependent rate estimation and identifying intrinsic data structures. For more details see Shimazaki and Shinomoto (2007) <doi:10.1162/neco.2007.19.6.1503> and Shimazaki and Shinomoto (2010) <doi:10.1007/s10827-009-0180-4>.https://github.com/r-universe/celebithil/actions/runs/29043734857Thu, 09 Jul 2026 17:26:09 GMTsshist0.2.2successhttps://celebithil.r-universe.devhttps://github.com/celebithil/sshistggplot2_visualization.Rmdggplot2_visualization.htmlAdvanced Density Visualization with ggplot22026-07-09 12:17:242026-07-09 12:17:24introduction.Rmdintroduction.htmlIntroduction to sshist2026-02-09 20:18:142026-07-09 12:17:24popov.daniil@gmail.com (Daniil Popov)Provides a simple and efficient way to read data from Paradox database files (.db) directly into R as modern 'tibble' data frames. It uses the underlying 'pxlib' C library to handle the low-level file format details and provides a clean, user-friendly R interface.https://github.com/r-universe/celebithil/actions/runs/29032463221Thu, 09 Jul 2026 11:14:51 GMTRparadox0.3.0successhttps://celebithil.r-universe.devhttps://github.com/celebithil/rparadoxRparadox.RmdRparadox.htmlIntroduction to Rparadox2025-09-06 12:50:322026-07-09 11:14:51