function dnannsumors( N, x, strideX, offsetX, out, strideOut, offsetOut ) {
	var sum;
	var ix;
	var io;
	var n;
	var v;
	var i;

	io = offsetOut;
	if ( N <= 0 ) {
		out[ io ] = 0.0;
		out[ io+strideOut ] = 0;
		return out;
	}
	ix = offsetX;
	if ( strideX === 0 ) {
		if ( isnan( x[ ix ] ) ) {
			out[ io ] = 0.0;
			out[ io+strideOut ] = 0;
			return out;
		}
		out[ io ] = x[ ix ] * N;
		out[ io+strideOut ] = N;
		return out;
	}
	// Find the first non-NaN element...
	for ( i = 0; i < N; i++ ) {
		v = x[ ix ];
		if ( isnan( v ) === false ) {
			break;
		}
		ix += strideX;
	}
	if ( i === N ) {
		out[ io ] = 0.0;
		out[ io+strideOut ] = 0;
		return out;
	}
	n = 1;
	sum = v;
	ix += strideX;
	i += 1;
	for ( ; i < N; i++ ) {
		if ( isnan( x[ ix ] ) === false ) {
			sum += x[ ix ];
			n += 1;
		}
		ix += strideX;
	}
	out[ io ] = sum;
	out[ io+strideOut ] = n;
	return out;
}
Computes the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.

@param {PositiveInteger} N - number of indexed elements
@param {Float64Array} x - input array
@param {integer} strideX - stride length for `x`
@param {NonNegativeInteger} offsetX - starting index for `x`
@param {Float64Array} out - output array
@param {integer} strideOut - stride length for `out`
@param {NonNegativeInteger} offsetOut - starting index for `out`
@returns {Float64Array} output array

@example
var Float64Array = require( '@stdlib/array/float64' );

var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
var out = new Float64Array( 2 );

var v = dnannsumors( 5, x, 2, 1, out, 1, 0 );
// returns <Float64Array>[ 5.0, 4 ]