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An R-Java Bayesian Additive Regression Trees implementation

active 2023-08-312026-05-03 (UTC)

Partial coverage25,187 / 26,319 hourly files (96%) · 2 absent upstream · 1,131 failed, retryable2023-08-152026-08-15 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
43
Pushes
9
Pull requests
4
Issues
11
Stars
7
Forks
4

Activity over time

Daily event counts in the loaded window

Line chart, 977 days from 2023-08-31 to 2026-05-03. Pushes: 9 total, peak 2 in a day. Pull requests: 4 total, peak 2 in a day. Issues: 11 total, peak 2 in a day. Comments: 8 total, peak 2 in a day. Stars: 7 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
kapelner21925
rdiaz024012
schwa0212000
olivroy1010
sunPi1000
njawadekar1000
nikosGeography1000
tjmckinley1001

Recent activity

Latest issues, pull requests and releases

  • Issue#62kapelner2026-01-20 15:58
    bartMachine 1.4+ requires Java 21 with incubator module generating a NOTE during R CMD check. Any guidance for package maintainers?
  • Issue#60kapelner2026-01-18 14:07
    installation of package ‘bartMachine’ had non-zero exit status
  • Issue#59kapelner2026-01-07 02:25
    Can a bartMachine model be saved without the training data?
  • Issue comment#55kapelner2026-01-01 03:27
    bartMachineCV is too verbose even with verbose = FALSE: it drops the verbose argument and includes cat's
  • Issue comment#1tjmckinley2025-06-17 20:58
    Thinning?
  • Issue#59schwa0212025-06-02 14:45
    Can a bartMachine model be saved without the training data?
  • Issue comment#58kapelner2024-05-16 15:23
    Guidance on setting up bartMachine in cloud environment
  • Issue#58kapelner2024-05-16 15:23
    Guidance on setting up bartMachine in cloud environment
  • Issue#58njawadekar2024-05-16 15:17
    Guidance on setting up bartMachine in cloud environment
  • Issue comment#56rdiaz022024-02-23 20:17
    bartMachine using more than 100% CPU even with set_bart_machine_num_cores(1)
  • Issue#56rdiaz022024-02-23 20:17
    bartMachine using more than 100% CPU even with set_bart_machine_num_cores(1)
  • Pull request#57kapelner2024-02-23 19:15
  • Issue comment#56rdiaz022024-02-23 19:07
    bartMachine using more than 100% CPU even with set_bart_machine_num_cores(1)
  • Pull request#57rdiaz022024-02-23 19:06
  • Pull request#54kapelner2024-01-09 23:43
  • Pull request#54olivroy2024-01-09 23:39
  • Issue comment#53kapelner2023-10-16 02:49
    Negative probabilities in posterior for classification problem
  • Issue#53schwa0212023-10-16 02:14
    Negative probabilities in posterior for classification problem
  • Issue comment#52kapelner2023-10-01 23:54
    Spatial structure in the (regression) residuals
  • Issue#52nikosGeography2023-09-30 14:12
    Spatial structure in the (regression) residuals
  • Issue#51kapelner2023-08-31 13:25
    DAG as a way to visualise decisions of the trained BART tree
  • Issue comment#51kapelner2023-08-31 12:57
    DAG as a way to visualise decisions of the trained BART tree
  • Issue#51sunPi2023-08-31 12:47
    DAG as a way to visualise decisions of the trained BART tree

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 7 stars here means stars gained during the window, not the repo's star count.