Changes in version 0.4.0 (2019-12-05)                  

    o   Bug fixes for issues concerning class(matrix(...)) in R 4.0.0

                 Changes in version 0.3.9 (2018-08-10)                  

    o   Updated citation and vignette: Paper in Statistics & Computing (doi:10.1007/s11222-018-9828-0)

                 Changes in version 0.3.8 (2018-04-08)                  

    o   Code refactoring

    o   Renamed functions: table.mc -> transitions; sim.mc -> rmarkov; dirichlet.mle -> fit_dirichlet ; stationary.mle -> stationary_mle ; best.k -> best_models

    o   Added unit tests

    o   Fixed bugs for transitions() of multiple-chain sequences and multiple CPUs in stationary()

                 Changes in version 0.3.6 (2017-04-03)                  

    o   Fixed WARNING: Found ‘__assert_fail’, possibly from ‘assert’ (C)

                        Changes in version 0.3.5                        

    o   Registered C++ routines

    o   Improved Description file

                        Changes in version 0.3.3                        

    o   Alternative method to compute eigenvectors: RcppEigen package

    o   Improved starting values for Dirichlet estimation algorithm

    o   Maximum likelihood estimation of stationary distribution: stationary.mle()

    o   Changed default prior to epsilon=1/M (M= number of sampled models)

    o   Changed default method to compute eigenvalue decomposition to RcppArmadillo (method="arma")

                        Changes in version 0.3.0                        

    o   Improved estimation of Dirichlet parameters to get effective sample size (C++ version of fixed-point algorithm by Mink, 2000)

    o   New function best.k() to get summary for the k models with highest posterior model probability

    o   Exports function rdirichlet()

    o   Updated licence: GPL-3 (instead of GPL-2)

                        Changes in version 0.2.1                        

    o   New function best.k() to assess estimation uncertainty for the k models with the highest posterior model probabilities

                        Changes in version 0.2.0                        

    o   Implementations with RcppArmadillo::eig_gen and base::eigen