Updated the description of the Inverse chi-squared and scaled
chi-squared distributions (thanks to Thomas Farrar for the report via
e-mail).
1.10.0.3
Corrected the description of the probability density function/random
generation for the Dirichlet distribution (thanks to Thomas Farrar for
the report via e-mail).
1.10.0.2
Maintanance overtake by Sigbert Klinke, changes in DESCRIPTION,
README.md, and NEWS.md.
1.10.0.1
Changes in DESCRIPTION as required by CRAN.
1.10.0
Fixed bug in rgpd which produced negative samples.
The RcppExports.cpp was fixed by reformatting it thanks to Dirk
Eddelbuettel.
1.9.1
Generated header file, inst/include/extraDistr.h, to
make C++ code callable from C++ code in other R packages (#23,
contribution from Jon Fintzi, @fintzij).
1.8.11
Fixed bugs in Frechet distribution implementations
(pfrechet).
1.8.10
Now zero-inflated negative-binomial (#12) and beta negative-binomial
distributions (#14) do not have integer-only constraint on
size parameter.
Fixed mistakes in the zero-inflated Poisson distribution
documentation (#15) and negative hypergeometric distribution
documentation.
Minor changes towards future Rcpp STRICT_R_HEADERS
compatibility.
Fixed bug in vectorization code for pbbinom (#16).
Additionally, this should make pbbinom and
pbnbinom faster when working with large vectors.
1.8.9
Fixed bug in dinvgamma function
Updated the DESCRIPTION file by mentioning the packages used in
optional unit tests for CRAN compatibility
1.8.8
Deprecated functions: dnst, pnst,
qnst and rnst were removed
Fixed typos in documentation (thanks to #8 by philchalmers)
Converted a number of pdf and cdf functions to more numerically
stable versions using logs (see #9 and #10)
Fixed bug in ppower: with
lower.tail = FALSE it returned wrong values
Fixed bug in dgpd and pgpd: they assumed
slightly wrong support
Improved the rgev and rgpd, now they give
better random values since relying on exponential distribution random
generator if possible
Documentation was improved and corrected in several places
Power distribution functions now check if alpha > 0
and beta > 0
1.8.7
Fixed bug in pinvgamma (lower.tail and
log.p didn’t work)
Fixed underflow issues with rmnom and
rdirmnom (#7)
The *nst functions are now deprecated and renamed to
more informative abbrevation *lst
1.8.6
Now consistently with base R only the first elements of the logical
arguments are used (thanks to #5)
Fixed bug in rtnorm (sampling from lower bound returned
incorrect values)
When computation becomes slow, now pbnbinom,
pbbinom, pgpois functions are easier to
brake
Automatically registering native routines via Rcpp
Fixed bug in pinvgamma (it returned non-zero
probabilities for q < 0)
1.8.5
Now rmnom and rdirmnom (issue #3) do not
return NaN’s due to underflow issues
Fixed bug (issue #4) that resulted in hanging R if zero-length
vectors were provided as input
1.8.4
Random generation from categorical distribution parametrized by
log-probabilities rcatlp
Re-parametrized beta distribution is now more flexible since “prior”
parameter was introduced (see documentation); this change is connected
to switching to different prior equal to zero (instead of one as
previously). Such parametrization is more commonly used in the
literature. This change is documented in the ?PropBeta
documentation
Improvements in documentation and examples
Fixed bugs in pbbinom, pbnbinom,
pgpois, *nhyper that prevented compiling on
RedHat Linux (#2)
1.8.3
Switched to C++11, underlying code was simplified and improved
Using memoization techniques for pbbinom,
pbnbinom, pgpois and negative hypergeometric
distribution that lead to major speed improvements
Improved and simplified code for beta-binomial, beta
negative-binomial, and gamma-Poisson cdf; now recursive algorithm
employing memoization techniques is used what noticeably improves
performance
Discrete gamma, shifted Gompertz (d,p,r), negative hypergeometric
and truncated binomial distributions (d,p,q,r) were added
Now lower.tail and log.p options for
pbetapr work properly
Simplified code for multivariate hypergeometric, multinomial,
Dirichlet-multinomial and categorical distributions
Truncated poisson distribution is now parametrized by lower and
upper truncation points
Fixed bugs in dbvpois (it returned underestimated
probabilities), dslash (there was discontinuity at x=0),
pcat (randomly it broke if x was greater then the upper
limit), and pdnorm.
Random generation functions throw warnings and produce
NA’s on NA’s in parameters or incorrect
parameters - as in base R
Order of parameters in discrete Laplace distribution was changed to
location and scale (vs scale and location) for consistency with other
distributions (e.g. continous Laplace)
Improved exception handling
1.8.1-2
Corrected and simplified documentation for *prop
distribution
Categorical, multinomial, mixture of normals and mixture of Poisson
distributions are now less restrictive about probability
parameters and accept any non-negative values. Probability parameter
vectors are normalized to sum to one (i.e. c(1,1,1) becomes
c(1,1,1)/3)
NA’s and NaN’s in input now always lead to
NA’s in output
Fixed bugs in rtnorm, now it properly handles sampling
from extreme tails
Tests for multivariate distribution now done with tolerance
1e-2
1.8.0
Bug fixes in qtnorm - now it works properly for
non-standard truncated normal
Bug fixes for rmnom and rdirmnom - now
they correctly use the prob parameter values
Minor improvements in dmvhyper and
dbvpois
Cleaned-up the documentation
Added discrete Laplace distribution
Faster RNG generator for Laplace distribution
Changes to using lower level RNG functions (unif_rand,
norm_rand) when possible
More tests
1.7.2
Documentation clean-up
Minor improvements and simplifications in C++ code
For min == max discrete uniform distribution behaves
now as degenerate distribution
1.7.1
Added Dirichlet-multinomial and beta prime distributions
Code clean-up for categorical distribution
Improvements in documentation and examples (e.g. bivariate Poisson,
bivariate normal)
Other minor improvements in the code
1.7.0
Cleaning namespace - now mathematical functions are explicitly
called from std library
“using namespace Rcpp” was removed from all the files
All the numerical values are now explicitly
<double>’s, or casted to <double>;
or <int>’s (for indexing)
Improvements in algorithms for discrete uniform, categorical,
mixture of normal, mixture of Poisson distributions
Improvements in discrete uniform; now it accepts only integer valued
parameters
Major C++ code clean-up
1.6.10-14
Removed erf, erfc, inv_erf
that are not used at this moment and caused problems when compiling on
Fedora and Solaris
Minor improvements in documentation
Added mixtures of normal and of Poisson distributions
Added truncated Poisson distribution
1.6.7-9
Minor changes and improvements in documention
Truncated normal returns normal for infinite truncation points
Added half-t, half-normal and half-Cauchy distributions
Changed naming of data-variable from x to
q for CDF’s
Added inverse-CDF for discrete normal distribution, fixed random
generation
Added tests
Multiple minor bug fixes (e.g. functions returning NaN
instead of 0 for Inf values)
Added Birnbaum-Saunders (fatigue life) distribution