function pdf = betapdf (x, a, b) % BETAPDF PDF of the Beta distribution % PDF = betapdf(X, A, B) computes, for each element of X, the PDF % at X of the beta distribution with parameters A and B (i.e. % mean of the distribution is A/(A+B) and variance is % A*B/(A+B)^2/(A+B+1) ). % Adapted for Matlab (R) from GNU Octave 3.0.1 % Original file: statistics/distributions/betapdf.m % Original author: KH % Modified by Michel Juillard for large values of a and b % Copyright (C) 1995, 1996, 1997, 2005, 2006, 2007 Kurt Hornik % Copyright (C) 2008-2011 Dynare Team % % This file is part of Dynare. % % Dynare is free software: you can redistribute it and/or modify % it under the terms of the GNU General Public License as published by % the Free Software Foundation, either version 3 of the License, or % (at your option) any later version. % % Dynare is distributed in the hope that it will be useful, % but WITHOUT ANY WARRANTY; without even the implied warranty of % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the % GNU General Public License for more details. % % You should have received a copy of the GNU General Public License % along with Dynare. If not, see . if (nargin ~= 3) error ('betapdf: you must give three arguments'); end if (~isscalar (a) || ~isscalar(b)) [retval, x, a, b] = common_size (x, a, b); if (retval > 0) error ('betapdf: x, a and b must be of common size or scalar'); end end sz = size (x); pdf = zeros (sz); k = find (~(a > 0) | ~(b > 0) | isnan (x)); if (any (k)) pdf (k) = NaN; end k = find ((x > 0) & (x < 1) & (a > 0) & (b > 0)); if (any (k)) if (isscalar(a) && isscalar(b)) pdf(k) = exp ((a - 1) .* log (x(k)) ... + (b - 1) .* log (1 - x(k))-gammaln(a)-gammaln(b)+gammaln(a+b)); else pdf(k) = exp ((a(k) - 1) .* log (x(k)) ... + (b(k) - 1) .* log (1 - x(k))-gammaln(a(k))-gammaln(b(k))+gammaln(a(k)+b(k))); end end end