pdflib


pdflib, a C code which evaluates Probability Density Functions (PDF) and produces random samples from them, including beta, binomial, chi, exponential, gamma, inverse chi, inverse gamma, multinomial, normal, scaled inverse chi, and uniform.

Licensing:

The information on this web page is distributed under the MIT license.

Languages:

pdflib is available in a C version and a C++ version and a Fortran90 version and a MATLAB version and an Octave version and a Python version.

Related Data and Programs:

pdflib_test

log_normal_truncated_ab, a C code which returns quantities associated with the log normal Probability Distribution Function (PDF) truncated to the interval [A,B].

ranlib, a C code which produces random samples from Probability Density Functions (PDF's), including Beta, Chi-square Exponential, F, Gamma, Multivariate normal, Noncentral chi-square, Noncentral F, Univariate normal, random permutations, Real uniform, Binomial, Negative Binomial, Multinomial, Poisson and Integer uniform, by Barry Brown and James Lovato.

rnglib, a C code which implements a random number generator (RNG) with splitting facilities, allowing multiple independent streams to be computed, by L'Ecuyer and Cote.

walker_sample, a C code which efficiently samples a discrete probability vector using Walker sampling.

Source Code:


Last revised on 23 July 2019.