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Changelog

Source: NEWS.md

bark 1.0.5

Major Changes

  • improve computational efficiency by saving old log likelihood values rahter than recomputing; should improve compuational speed by close to a factor of 2

Bug Fixes

  • identified an error in the calculation of the covariance matrix for the coeffients in R/llike.R and updated code. (result was close so not a large effect)

bark 1.0.4

CRAN release: 2023-04-18

  • archived on 3/31 due to unit test failure on MKL with R-devel gcc skip this unit test on CRAN as test is for code that will be deprecated shortly.

bark 1.0.3

  • failed MKL checks

bark 1.0.3

  • failed MKL checks

bark 1.0.1

CRAN release: 2023-03-09

minor changes

  • update longer running examples to use \donttest rather than \dontrun
  • add reference to DESCRIPTION

bark 1.0.0

Major Changes

  • output of bark is now a bark object which will allow S3 methods

  • replace input arguments y.train and x.train to use model formula and dataframe as inputs.

  • replaced the argument type with two logical variables: selection and common_lambdas that are more intuitive.

  • changed running times of examples to address issue https://CRAN.R-project.org/package=bark which led package to being archived in 2015

  • added registration of native routines in foreign function calls and disabled symbol search in src/bark-init.c and updated the NAMESPACE

  • replaced kernel calculation using .C with .Call to improve speed in src/kernelCalculationCall.cpp and R/llike.R

  • added unit tests in testthat so that code coverage is reported with CI; code coverage badge added to README. Unit tests now cover over 99% of the code as reported by CodeCov

  • added GitHub actions for CI and checks on Windows, MacOSX, and Ubuntu and added R CMD check passing Badge to README.md in GitHub repo.

  • converted all help files to use roxygen tags

  • deprecated functions sim.Circle, sim.Friedman1, sim.Friedman2, sim.Friedman3 and created new versions sim_circle, sim_Friedman1, sim_Friedman2, sim_Friedman3 to avoid confusion with S3 methods

  • updated CODE_OF_CONDUCT.md, SECURITY.md, CONTRIBUTING.md on GitHub repo and other updates for OpenSSF BestPractices Badge (added to README.md)

Bug Fixes

  • GitHub Issue #1 Added type checks to src/kernelCalculationCall.cpp and coerce inputs to correct type (unit tests in testthat/test-llike.R) reported at

  • GitHub Issue #3 Addressed error in when p = 1 where subsetting resulted in output being a vector due to drop in dimension. Added unit test in testthat/test-bark.R