Changes in version 0.2.5                        

  - Added function covar_vector_to_matrix.
  - Added function sur_const_to_tvp.
  - Updated Rcpp dependency in DESCRIPTION file to version 1.0.12.
  - Added post_gamma_state_variance for posterior simulation of constant
    error variances of the state equation.
  - Added post_gamma_measurement_variance for posterior simulation of
    constant error variances of the measurement equation.
  - Renamed .prep_covar_data to covar_prepare_data and made it visible
    in R and also callable from C++.

                 Changes in version 0.2.4 (2024-01-08)                  

  - Using an updated version of Rcpp to address an issue with
    Rcpp::stop.
  - stochvol_ocsn2007 can handle multi-column input.
  - stochvol_ksc1998 can handle multi-column input.
  - Added post_normal_covar_tvp for posterior simulation of time
    varying, lower triangular covariance matrices.
  - Added post_normal_covar_const for posterior simulation of constant,
    lower triangular covariance matrices.

                 Changes in version 0.2.3 (2023-08-30)                  

  - Fixed alias issue resulting from use of roxygen2.
  - Made kalman_dk callable from C++.
  - Stochastic volatility algorithms allow to set the offsetting
    constant manually.
  - Changed stoch_vol to a wrapper for stochvol_ksc1998.
  - Added stochastic volatility algorithm of Kim et al. (1998) in a
    separate function stochvol_ksc1998.
  - Added stochastic volatility algorithm of Omori et al. (2007) in
    function stochvol_ocsn2007.
  - Fixed bug with detection of deterministic terms in bvar.
  - Implemented recursive iterations for forecasts in C++.
  - Replaced erroneous | in C++ sampling functions by ||.

                 Changes in version 0.2.2 (2023-06-12)                  

  - Addressed CRAN NOTE on CITATION file
  - Addressed the CRAN NOTE "Specified C++11: please drop specification
    unless essential" by dropping the specification from "src/Makevars"
  - Improved the treatment of bvar and bvec objects if Gibbs sampler
    fails.
  - Fix erroneous SUR-matrix generation for VEC models with r = 0 in
    .bvecalg.
  - Fix bug in .bvecalg and .bvectvpalg with the storing of posterior
    draws of beta.
  - Fix bug of predict.bvar, which could not handle only VARX models
    with contemporaneous exogenous variables only.
  - Model plot functions support boxplots.
  - Fix typos in documentation.

                 Changes in version 0.2.1 (2022-01-22)                  

  - Added functionality for the simulation of models with time varying
    parameters, both for VAR and VEC models.
  - Added functionality for the simulation of models with stochastic
    volatility, both for VAR and VEC models.
  - Added a plot function for classes bvar and bvec for visual
    inspection of posterior draws.
  - Changed the generation of the output object in the Gibbs sampler
    functions bvaralg and bvecalg to make them more stable for
    especially large output.
  - Changed draw_posterior to a generic function and added the
    corresponding methods for BVAR, BVEC and DFM input.
  - Changed irf and fevd to generic functions.
  - Corrected typos in documentation.
  - thin_posterior methods were renamed to thin and are now methods of
    coda::thin.
  - Function irf allows to specify the size of a shock.
  - Fixed a bug in ssvs_prior concerning BVEC models.
  - Fixed a bug with the prior in the BVEC algorithm.

                 Changes in version 0.2.0 (2021-04-25)                  

  - Changed thin_posterior to a generic function and added methods for
    BVAR, BVEC and dynamic factor model input.
  - Changed add_prior to a generic function and added methods for BVAR,
    BVEC and dynamic factor model input.
  - Added funcionality to estimate dynamic factor models (DFM).
  - predict requires to specify an object of class ts as input for
    argument exogen.
  - Additioal argument checks for add_priors methods.
  - Updated documentation in minnesota_prior and for add_prior methods.
  - Using \doi instead of \url in documentation

                 Changes in version 0.1.0 (2020-09-18)                  

  - Omitted package Matrix from "Imports"" in DESCRIPTION, which caused
    a note in version 0.0.3.
  - Added function bvarpost for posterior simulation of BVAR models.
  - Added function bvecpost for posterior simulation of BVEC models.
  - Added function draw_posterior for estimation of multiple models.
  - Fixed erroneous calculation of structural forecast error variance
    decompositions.
  - More specification checks and increased robustness against erroneous
    model specificaions.
  - Function fevd calculates FEVDs based on means of posterior draws of
    FEVDs and not based on the means of the coefficient draws.
  - Function bvar and summary.bvar can deal with inclusion parameters.
  - Added funtion add_priors for easier construction of prior matrices
    for multiple models.
  - gen_var and gen_vec can produce multiple models.
  - Changed all argument names of predict.bvar to lower cases.

                 Changes in version 0.0.3 (2020-07-23)                  

  - Changed all argument names of post_normal, post_normal_sur,
    post_coint_kls and post_coint_kls_sur to lower case letters.
  - Replaced output element in function ssvs from V_i to v_i.
  - Refined function minnesota_prior and added additional functionaliy.
  - Fixed error message when creating seasonal dummies with gen_var and
    gen_vec.
  - New data set us_macrodata.
  - Added additional checks in gen_vec.
  - Added functions inclusion_prior for the calculation of inclusion
    probability priors as used by bvs and ssvs.
  - Added summary functions.
  - Fixed conversion and collection of exogenous regressors in
    bvec_to_bvar.
  - Fixed detection of deterministic terms in bvec_to_bvar.
  - Updated documentation in kalman_dk.
  - irf contains a new argument keep_draws.
  - Additional checks in post_normal, post_normal_sur, post_coint_kls
    and post_coint_kls_sur.
  - Adapt vignette bvec.
  - Added loglik_normal for the calculation of a multivariate normal
    log-likelihood.

                 Changes in version 0.0.2 (2019-08-20)                  

  - Updated vignette ssvs after the introduction of function ssvs_prior.
  - Added ssvs_prior for the calculation of prior matrices for the SSVS
    algorithm.
  - Added minnesota_prior for the calculation of the Minnesota prior.
  - Use unsigned integers for indices in Cpp code to address warnings
    during installation.
  - Better error handling in irf.
  - In post_coint_kls_sur the prior matrix g_i can be time varying.
  - bvar and predict also work only with deterministic terms, i.e. p can
    be zero.
  - Use SVD to obtain a draw of beta in post_coint_kls and
    post_coint_kls_sur.
  - predict allows for p = 1.
  - Add legend to plot.bvarfevd.

                 Changes in version 0.0.1 (2019-06-11)                  

  - Initial release