Package: fastgbm
Type: Package
Title: Fast Histogram Gradient Boosting for Regression, Classification,
        and Survival Analysis
Version: 0.6.1
Authors@R: person("Imad", "El Badisy", email = "elbadisyimad@gmail.com", role = c("aut", "cre"))
Description: A fast gradient boosting machine covering four task types with
    one interface: regression (squared error), binary and multiclass
    classification (logistic and one-vs-rest), and right-censored survival
    analysis via Cox (Breslow ties), accelerated failure time (normal
    location-scale), or piecewise-exponential objectives. Provides
    native missing-value routing, baseline-hazard estimation and
    survival-probability prediction for the survival objectives, and
    deterministic multi-threaded training via 'RcppParallel'. Methods are
    described in Friedman (2001) <doi:10.1214/aos/1013203451>.
License: MIT + file LICENSE
URL: https://github.com/ielbadisy/fastgbm
BugReports: https://github.com/ielbadisy/fastgbm/issues
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: stats, utils, Rcpp, RcppParallel
LinkingTo: Rcpp, RcppParallel
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, survival, ggplot2,
        pdp, gbm, xgboost, ranger
VignetteBuilder: knitr
Config/testthat/edition: 3
SystemRequirements: C++17, GNU make
RoxygenNote: 7.3.3
NeedsCompilation: yes
Packaged: 2026-08-21 22:11:27 UTC; imad-el-badisy
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 11:50:12 UTC
Built: R 4.5.2; x86_64-apple-darwin20; 2026-09-01 14:14:18 UTC; unix
Archs: fastgbm.so.dSYM
