function logpmf( x, N, K, n ) {
	var ldenom;
	var lnum;
	var maxs;
	var mins;

	if (
		isnan( x ) ||
		isnan( N ) ||
		isnan( K ) ||
		isnan( n ) ||
		!isNonNegativeInteger( N ) ||
		!isNonNegativeInteger( K ) ||
		!isNonNegativeInteger( n ) ||
		N === PINF ||
		K === PINF ||
		K > N ||
		n > N
	) {
		return NaN;
	}
	mins = max( 0, n + K - N );
	maxs = min( K, n );
	if (
		isNonNegativeInteger( x ) &&
		mins <= x &&
		x <= maxs
	) {
		lnum = fln( n ) + fln( K ) + fln( N - n ) + fln( N - K );
		ldenom = fln( N ) + fln( x ) + fln( n - x );
		ldenom += fln( K - x ) + fln( N - K + x - n );
		return lnum - ldenom;
	}
	return NINF;
}
Evaluates the natural logarithm of the probability mass function (PMF) for a hypergeometric distribution with population size `N`, subpopulation size `K`, and number of draws `n`.

@param {number} x - input value
@param {NonNegativeInteger} N - population size
@param {NonNegativeInteger} K - subpopulation size
@param {NonNegativeInteger} n - number of draws
@returns {number} evaluated logPMF

@example
var y = logpmf( 1.0, 8, 4, 2 );
// returns ~-0.56

@example
var y = logpmf( 2.0, 8, 4, 2 );
// returns ~-1.54

@example
var y = logpmf( 0.0, 8, 4, 2 );
// returns ~-1.54

@example
var y = logpmf( 1.5, 8, 4, 2 );
// returns -Infinity

@example
var y = logpmf( NaN, 10, 5, 2 );
// returns NaN

@example
var y = logpmf( 0.0, NaN, 5, 2 );
// returns NaN

@example
var y = logpmf( 0.0, 10, NaN, 2 );
// returns NaN

@example
var y = logpmf( 0.0, 10, 5, NaN );
// returns NaN

@example
var y = logpmf( 2.0, 10.5, 5, 2 );
// returns NaN

@example
var y = logpmf( 2.0, 5, 1.5, 2 );
// returns NaN

@example
var y = logpmf( 2.0, 10, 5, -2.0 );
// returns NaN

@example
var y = logpmf( 2.0, 10, 5, 12 );
// returns NaN

@example
var y = logpmf( 2.0, 8, 3, 9 );
// returns NaN