%% Copyright (C) 2012 Rik Wehbring
%% Copyright (C) 1995-2016 Kurt Hornik
%%
%% This program 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.
%%
%% This program 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 this program; see the file COPYING.  If not, see
%% <http://www.gnu.org/licenses/>.

%% cdf = betacdf (x, a, b)
%% For each element of @var{x}, compute the cumulative distribution function
%% (CDF) at x of the Beta distribution with parameters a and b.

%% Author: KH <Kurt.Hornik@wu-wien.ac.at>
%% Description: CDF of the Beta distribution

%% Adapted for the use with Matlab and the NaN-toolbox.

function cdf = betacdf (x, a, b)

  if (nargin ~= 3)
    print_usage ();
  end

  if (~ isscalar (a) || ~ isscalar (b))
    % [retval, x, a, b] = common_size (x, a, b);
    retval = ~isscalar(a) && any(size(x)~=size(a));
    retval = retval || (~isscalar(b) && any(size(x)~=size(b)));

    if (retval > 0)
      error ('betacdf: X, A, and B must be of common size or scalars');
    end
  end
  if isscalar(a)
    a = repmat(a,size(x));
  end
  if isscalar(b)
    b = repmat(b,size(x));
  end


  if (~isreal (x) || ~isreal (a) || ~isreal (b))
    error ('betacdf: X, A, and B must not be complex');
  end

  if (isa (x, 'single') || isa (a, 'single') || isa (b, 'single'))
    cdf = zeros (size (x), 'single');
  else
    cdf = zeros (size (x));
  end

  k = isnan (x) | ~(a > 0) | ~(b > 0);
  cdf(k) = NaN;

  k = (x >= 1) & (a > 0) & (b > 0);
  cdf(k) = 1;

  k = (x > 0) & (x < 1) & (a > 0) & (b > 0);
  if (isscalar (a) && isscalar (b))
    cdf(k) = betainc (x(k), a, b);
  else
    cdf(k) = betainc (x(k), a(k), b(k));
  end

end


%!shared x,y
%! x = [-1 0 0.5 1 2];
%! y = [0 0 0.75 1 1];
%!assert (betacdf (x, ones (1,5), 2*ones (1,5)), y)
%!assert (betacdf (x, 1, 2*ones (1,5)), y)
%!assert (betacdf (x, ones (1,5), 2), y)
%!assert (betacdf (x, [0 1 NaN 1 1], 2), [NaN 0 NaN 1 1])
%!assert (betacdf (x, 1, 2*[0 1 NaN 1 1]), [NaN 0 NaN 1 1])
%!assert (betacdf ([x(1:2) NaN x(4:5)], 1, 2), [y(1:2) NaN y(4:5)])

%% Test class of input preserved
%!assert (betacdf ([x, NaN], 1, 2), [y, NaN])
%!assert (betacdf (single ([x, NaN]), 1, 2), single ([y, NaN]))
%!assert (betacdf ([x, NaN], single (1), 2), single ([y, NaN]))
%!assert (betacdf ([x, NaN], 1, single (2)), single ([y, NaN]))

%% Test input validation
%!error betacdf ()
%!error betacdf (1)
%!error betacdf (1,2)
%!error betacdf (1,2,3,4)
%!error betacdf (ones (3), ones (2), ones (2))
%!error betacdf (ones (2), ones (3), ones (2))
%!error betacdf (ones (2), ones (2), ones (3))
