bark 1.0.6

Major Changes

improve computational efficiency by saving old log likelihood values rather than recomputing; should improve computational speed by close to a factor of 2
replace .C with .Call for computing the design matrix (resolves CRAN warning about noRemap)

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

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.

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)

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

mirror server hosted at Truenetwork, Russian Federation.