# incrmda > Compute the [mean directional accuracy][mean-directional-accuracy] (MDA) incrementally.
The [mean directional accuracy][mean-directional-accuracy] is defined as
Equation for the mean directional accuracy.
where `f_i` is the forecast value, `a_i` is the actual value, `sgn(x)` is the [signum][@stdlib/math/base/special/signum] function, and `δ` is the [Kronecker delta][@stdlib/math/base/special/kronecker-delta].
## Usage ```javascript var incrmda = require( '@stdlib/stats/incr/mda' ); ``` #### incrmda() Returns an accumulator `function` which incrementally computes the [mean directional accuracy][mean-directional-accuracy]. ```javascript var accumulator = incrmda(); ``` #### accumulator( \[f, a] ) If provided input values `f` and `a`, the accumulator function returns an updated [mean directional accuracy][mean-directional-accuracy]. If not provided input values `f` and `a`, the accumulator function returns the current [mean directional accuracy][mean-directional-accuracy]. ```javascript var accumulator = incrmda(); var m = accumulator( 2.0, 3.0 ); // returns 1.0 m = accumulator( -1.0, 4.0 ); // returns 0.5 m = accumulator( -3.0, -2.0 ); // returns ~0.67 m = accumulator(); // returns ~0.67 ```
## Notes - Input values are **not** type checked. If provided `NaN` or a value which, when used in computations, results in `NaN`, the accumulated value is `NaN` for **all** future invocations. If non-numeric inputs are possible, you are advised to type check and handle accordingly **before** passing the value to the accumulator function.
## Examples ```javascript var randu = require( '@stdlib/random/base/randu' ); var incrmda = require( '@stdlib/stats/incr/mda' ); var accumulator; var v1; var v2; var i; // Initialize an accumulator: accumulator = incrmda(); // For each simulated datum, update the mean directional accuracy... for ( i = 0; i < 100; i++ ) { v1 = ( randu()*100.0 ) - 50.0; v2 = ( randu()*100.0 ) - 50.0; accumulator( v1, v2 ); } console.log( accumulator() ); ```