code: function partial( mu, sigma ) {
  	var A = mu,
  		B = sigma * sqrt( 2 );
  	/**
  	* FUNCTION: quantile( p )
  	*	Evaluates the quantile function for a Normal distribution.
  	*
  	* @private
  	* @param {Number} p - input value
  	* @returns {Number} evaluated quantile function
  	*/
  	if ( sigma === 0 ) {
  		return function quantile( p ) {
  			if ( p !== p || p < 0 || p > 1 ) {
  				return NaN;
  			}
  			return mu;
  		};
  	}
  	return function quantile( p ) {
  		if ( p !== p || p < 0 || p > 1 ) {
  			return NaN;
  		}
  		return A + B * erfinv( 2 * p - 1 );
  	};
  }
docs: PARTIAL // 
  FUNCTION: partial( mu, sigma )
  Partially applies mean `mu` and standard deviation `sigma` and returns a function for evaluating the quantile function for a Normal distribution.
  
  @param {Number} mu - mean
  @param {Number} sigma - standard deviation
  @returns {Function} quantile function