function quantile( p, N, K, n ) {
	var prob;
	var x;

	if (
		isnan( p ) ||
		isnan( N ) ||
		isnan( K ) ||
		isnan( n ) ||
		!isNonNegativeInteger( N ) ||
		!isNonNegativeInteger( K ) ||
		!isNonNegativeInteger( n ) ||
		N === PINF ||
		K === PINF ||
		K > N ||
		n > N ||
		p < 0.0 ||
		p > 1.0
	) {
		return NaN;
	}
	if ( p === 0.0 ) {
		return max( 0, n + K - N );
	}
	if ( p === 1.0 ) {
		return min( n, K );
	}
	x = max( 0, n + K - N );
	while ( true ) {
		prob = cdf( x, N, K, n );
		if ( prob > p ) {
			break;
		}
		x += 1;
	}
	return x;
}
Evaluates the quantile function for a hypergeometric distribution with population size `N`, subpopulation size `K`, and number of draws `n` at a probability `p`.

@param {Probability} p - input value
@param {NonNegativeInteger} N - population size
@param {NonNegativeInteger} K - subpopulation size
@param {NonNegativeInteger} n - number of draws
@returns {NonNegativeInteger} evaluated quantile function

@example
var y = quantile( 0.4, 40, 20, 10 );
// returns 5

@example
var y = quantile( 0.8, 60, 40, 20 );
// returns 15

@example
var y = quantile( 0.5, 100, 10, 10 );
// returns 1

@example
var y = quantile( 0.0, 100, 40, 20 );
// returns 0

@example
var y = quantile( 1.0, 100, 40, 20 );
// returns 20

@example
var y = quantile( NaN, 40, 20, 10 );
// returns NaN

@example
var y = quantile( 0.2, NaN, 20, 10 );
// returns NaN

@example
var y = quantile( 0.2, 40, NaN, 10 );
// returns NaN

@example
var y = quantile( 0.2, 40, 20, NaN );
// returns NaN