Changes in version 2.3.1                        

Bug fixes

  - rtmvt correctly samples when a loc vector is provided.

                  Changes in version 2.3 (2024-07-08)                   

Bug fixes

  - rtnorm now checks arguments length and throw an error rather than
    try to recycle mean and standard deviation vectors (issue #6).
  - rtnorm recycles arguments when ltrunc or rtrunc are length 1.
  - *tmvt and *tmvnorm now check that the scale matrix sigma is
    symmetric, positive-definite and non-degenerate (issue #8) by
    default.
  - rmvnorm returns a vector rather than an 1 by n matrix for the
    unidimensional setting.
  - Degrees of freedom larger than 350 are not treated as infinite, as
    the code suffers from overflow and returns missing values otherwise.

Changes

  - The package uses tinytest rather than testthat for unit tests.
  - Since scrambling is disabled in randtoolbox (throwing warning
    messages), the package now relies on the qrng package and the Owen
    scrambling method from spacefillr package for quasi Monte Carlo.
  - Added alias in package documentation, as requested by Kurt Hornik.

                 Changes in version 2.2.2 (2021-09-08)                  

Bug fixes

  - Remove ghost argument log (never implemented) from functions pmvnorm
    and pmvt; these now return a warning (thanks to Elysée Aristide)

                  Changes in version 2.2 (2020-05-17)                   

Bug fixes

  - ptmvnorm and ptmvt now return 1 if all points exceed the upper
    bounds (incorrectly returned zero in v2.1.2 and NA in previous
    versions) (thanks to Adelchi Azzalini).
  - Probability estimates now capped at 0/1 in ptmvt/ptmvnorm.
  - Check for solution to saddlepoint problem; the code now considers
    convex constrained optimization program for normal samples (QMC or
    MC).

Changes

  - No more warning for univariate Student distribution function
    evaluation.
  - Unit testing for wrappers.

                 Changes in version 2.1.2 (2020-05-02)                  

Bug fixes

  - ptmvtnorm and ptmvt return 0 for points outside the truncated region
    instead of NA (thanks to Adelchi Azzalini)
  - Fixed a bug in rtmvt that returned incorrect output (tranposed mean
    vector)

                  Changes in version 2.1 (2019-08-31)                   

Bug fixes

  - Cholesky decomposition with permutation now checks the arguments to
    ensure lb less than ub, to avoid segfault errors. In case of
    degenerate bounds, the conditional distribution is used with fixed
    components for the degenerate variables (issue #2)

Changes

  - Moved back probit example in documentation
  - Change back to randtoolbox package following its reuploading on CRAN

                  Changes in version 2.0 (2019-06-10)                   

Bug fixes

  - Throw error if NaN in bounds
  - Handle univariate cases in mvrandt and mvrandn

Changes

  - Can specify mean vector directly in the functions
  - Functions for multivariate Student simulation ported from Matlab
  - Change to the interface
  - Many functions now internal (documented)
  - Cholesky matrix permutation (GGB and GE reordering now supported)
  - Selected code rewritten in Rcpp
  - New vignette
  - Removed random seed
  - Change to qrng package for QRN generation of the Sobol sequence
    (randtoolbox package unmaintained), but the sequence is not
    scrambled
  - Use nleq solver to solve convex program (also check KKT conditions).

                  Changes in version 1.0 (2015-11-10)                   

  - Initial release