NEWS

Version 2.3

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.

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.

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

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).

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)

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)

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).