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-rw-r--r--lib/chi_squared_pdf.c49
1 files changed, 49 insertions, 0 deletions
diff --git a/lib/chi_squared_pdf.c b/lib/chi_squared_pdf.c
new file mode 100644
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--- /dev/null
+++ b/lib/chi_squared_pdf.c
@@ -0,0 +1,49 @@
+// Chi-Squared PDF
+//
+// chi_squared_pdf - χ² probability density
+//
+// f(x; k) = x^(k/2-1) * e^(-x/2) / (2^(k/2) * Γ(k/2)), for x > 0
+//
+// Inputs: 1
+// Outputs: 1 (PDF value)
+// Constants: 1 (degrees of freedom)
+
+#include <math.h>
+#include "ts.h"
+
+typedef struct {
+ fp_t k;
+} ts_chi_squared_pdf_params_t;
+
+ts_parameter_t const ts_chi_squared_pdf_p = { .n_inputs = 1, .n_outputs = 1, .n_constants = 1, .params_size = sizeof(ts_chi_squared_pdf_params_t) };
+
+uint_t ts_chi_squared_pdf_offset( ts_constant_t const *c )
+{
+ ( void )c;
+ return ( 0 );
+}
+
+int ts_chi_squared_pdf(
+ fp_t * const *y, uint_t y_n,
+ fp_t const * const *x, uint_t x_n,
+ uint_t n, ts_constant_t const *c
+)
+{
+ TS_PROLOGUE( ts_chi_squared_pdf_p );
+ if ( !c ) return -1;
+ fp_t k = ((ts_chi_squared_pdf_params_t *)c)->k;
+ if ( k <= 0 )
+ {
+ for( uint_t i = 0; i < n; ++i ) y[0][i] = 0;
+ return -1;
+ }
+ for( uint_t i = 0; i < n; ++i )
+ {
+ fp_t xi = x[0][i];
+ y[0][i] = xi > 0 ? pow( xi, k / 2.0 - 1.0 ) * exp( -xi / 2.0 ) / ( pow( 2.0, k / 2.0 ) * tgamma( k / 2.0 ) ) : 0.0;
+ }
+ return 0;
+}
+
+
+