Changes in version 1.1.7                        

  - I removed the SystemRequirements from the DESCRIPTION file.

                 Changes in version 1.1.6 (2025-09-15)                  

  - I updated the Makevars and Makevars.win files by adding
    -DARMA_USE_CURRENT (see issue:
    https://github.com/RcppCore/RcppArmadillo/issues/476)
  - I removed the -mthreads compilation option from the "Makevars.win"
    file
  - I removed the "CXX_STD = CXX11" from the "Makevars" files, and the
    "[[Rcpp::plugins(cpp11)]]" from the "distance_metrics.cpp" file due
    to the following NOTE from CRAN, "NOTE Specified C++11: please drop
    specification unless essential" (see also:
    https://www.tidyverse.org/blog/2023/03/cran-checks-compiled-code/#note-regarding-systemrequirements-c11)

                 Changes in version 1.1.5 (2023-01-06)                  

  - I added the order 'p' of the "minkowski" method as a new parameter
    to the 'KernelKnn()', 'KernelKnnCV()' and 'knn.index.dist()'
    functions. It defaults to 'k' (see
    https://github.com/mlampros/KernelKnn/issues/9)
  - I added test cases for the 'KernelKnn()' and 'knn.index.dist()'
    functions

                 Changes in version 1.1.4 (2021-10-29)                  

  - The pull request 7 fixed a bug in the checking of the Levels
    argument (see https://github.com/mlampros/KernelKnn/pull/7)
  - I fixed an omission of the column names in case of classification in
    the KernelKnn() and distMat.KernelKnn() functions (see
    https://github.com/mlampros/KernelKnn/issues/8)

                 Changes in version 1.1.3 (2021-09-29)                  

  - I updated the References section of the switch.ops() function in the
    utils.R file which explain how the combination of the kernels work
  - I added an error case in all functions that make usage of the
    'Levels' parameter if the 'Levels' do not match the unique 'y'
    labels
  - I removed the distMat.KernelKnnCV() function (and the
    tests/test-dist_kernelknnCV.R file) because based on the current
    implementation of the distMat.KernelKnn() function the TEST_indices
    parameter must consist of the last indices of the input DIST_mat
    distance matrix and this is not the case if we run cross-validation
    (see issue 5)

                 Changes in version 1.1.2 (2021-05-04)                  

  - I've fixed an error in the CITATION file

                 Changes in version 1.1.1 (2021-05-03)                  

  - I've added the CITATION file in the inst directory

                 Changes in version 1.1.0 (2019-11-29)                  

  - I fixed the "failure: the condition has length > 1" CRAN error which
    appeared mainly due to the misuse of the base class() function in
    multiple code snippets in the package (for more info on this matter
    see:
    https://developer.r-project.org/Blog/public/2019/11/09/when-you-think-class.-think-again/index.html)

                 Changes in version 1.0.9 (2019-04-14)                  

I added a test case to check equality of the results between KernelKnnCV
and distMat.KernelKnnCV functions

                 Changes in version 1.0.8 (2018-01-16)                  

I added the DARMA_64BIT_WORD flag in the Makevars file to allow the
package processing big datasets

                 Changes in version 1.0.7 (2017-11-30)                  

I modified the input_dist_mat function of the distance_metrics.cpp file
due to a bug. I modified the distMat.KernelKnn function so that it does
not return an error if the rows of the DIST_mat distance matrix is not
equal to the length of y (added comments in the function documentation).

                 Changes in version 1.0.6 (2017-10-30)                  

In this version the following functions/parameters were added:

  - seed_num : parameter in KernelKnnCV and distMat.KernelKnnCV
    cross-validation functions, which specifies the seed of R's random
    number generator
  - distMat.KernelKnn : this function performs kernel k-nearest-neighbor
    search by using a distance matrix as input
  - distMat.knn.index.dist : this function returns the indices and
    distances for k-nearest neighbors using a distance matrix
  - distMat.KernelKnnCV : this function performs cross-validated kernel
    k-nearest-neighbor search using a distance matrix as input

I also modified the OpenMP clauses of the .cpp file to address the ASAN
errors.

                 Changes in version 1.0.5 (2017-02-21)                  

I removed OpenImageR and irlba as package dependencies. I also added an
init.c file in the src folder due to a change in CRAN submissions for
compiled code [ references :
http://stackoverflow.com/questions/42313373/r-cmd-check-note-found-no-calls-to-r-registerroutines-r-usedynamicsymbols,
https://github.com/RcppCore/Rcpp/issues/636 ]

                 Changes in version 1.0.4 (2017-02-10)                  

I added a try-catch Rcpp function to make possible the calculation of
singular covariance matrices as sugggested in
https://github.com/mlampros/KernelKnn/issues/1

                 Changes in version 1.0.3 (2016-12-07)                  

Reimplementation of the Rcpp function due to ASAN-memory-errors

                 Changes in version 1.0.2 (2016-09-08)                  

I updated the Description file with a URL and a BugReports web-address.

                 Changes in version 1.0.1 (2016-07-11)                  

Currently, Software platforms like OSX do not support openMP, thus I've
made openMP optional for all cpp functions.

                        Changes in version 1.0.0