code: function mgf( y, x, n, p, clbk ) {
  	var len = x.length,
  		fcn,
  		v, i;
  
  	fcn = partial( n, p );
  	for ( i = 0; i < len; i++ ) {
  		v = clbk( x[ i ], i );
  		if ( typeof v === 'number' ) {
  			y[ i ] = fcn( v );
  		} else {
  			y[ i ] = NaN;
  		}
  	}
  	return y;
  }
docs: MGF // 
  FUNCTION: ( out, arr, n, p, accessor )
  Evaluates the moment-generating function (MGF) for a Binomial distribution with number of trials `n` and success probability `p` using an accessor function.
  
  @param {Array|Int8Array|Uint8Array|Uint8ClampedArray|Int16Array|Uint16Array|Int32Array|Uint32Array|Float32Array|Float64Array} out - output array
  @param {Array} arr - input array
  @param {Number} n - number of trials
  @param {Number} p - success probability
  @param {Function} accessor - accessor function for accessing array values
  @returns {Number[]|Int8Array|Uint8Array|Uint8ClampedArray|Int16Array|Uint16Array|Int32Array|Uint32Array|Float32Array|Float64Array} output array