diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/quantile/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/README.md
new file mode 100644
index 000000000000..4b85c80b0d55
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/README.md
@@ -0,0 +1,113 @@
+
+
+# quantile
+
+> Compute the p-th quantile of a sorted one-dimensional ndarray.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var quantile = require( '@stdlib/stats/base/ndarray/quantile' );
+```
+
+#### quantile( arrays , p )
+
+Computes the p-th quantile of a sorted one-dimensional ndarray.
+
+```javascript
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = [ 1.0, 2.0, 3.0, 4.0 ];
+var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var v = quantile( [x], 0.5 );
+// returns 2.5
+```
+
+The function has the following parameters:
+
+
+- **arrays**: array-like object containing a sorted one-dimensional input ndarray.
+- **p**: quantile probability in the interval 0 and 1.
+
+
+
+
+
+
+
+## Notes
+
+- If provided an empty ndarray, the function returns `NaN`.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var linspace = require( '@stdlib/array/linspace' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var quantile = require( '@stdlib/stats/base/ndarray/quantile' );
+
+// Create a linearly spaced sorted array:
+var xbuf = linspace( 0.0, 10.0, 11 );
+
+var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = quantile( [ x ], 0.5 );
+console.log( v );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/quantile/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/benchmark/benchmark.js
new file mode 100644
index 000000000000..64273733b303
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/benchmark/benchmark.js
@@ -0,0 +1,101 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var bench = require( '@stdlib/bench' );
+var linspace = require( '@stdlib/array/linspace' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var pkg = require( './../package.json' ).name;
+var quantile = require( './../lib' );
+
+var options = {
+ 'dtype': 'generic'
+};
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var xbuf;
+ var x;
+
+ xbuf = linspace( 0.0, 100.0, len );
+ x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+ return benchmark;
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Object} b - benchmark instance
+ * @returns {void}
+ */
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = quantile( [ x ], 0.5 );
+ if ( isnan( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+* @returns {void}
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^1
+ max = 6; // 10^6
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( pkg+':len='+len, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/quantile/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/docs/repl.txt
new file mode 100644
index 000000000000..496ca725bcdf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/docs/repl.txt
@@ -0,0 +1,34 @@
+{{alias}}( arrays, p )
+ Computes the p-th quantile of a sorted one-dimensional ndarray.
+
+ The quantile is the value below which a fraction `p` of the data falls.
+ The input array must be sorted in ascending order.
+
+ If provided an empty ndarray, the function returns `NaN`.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing a sorted one-dimensional input ndarray.
+ p: number
+ Quantile probability in the interval [0,1].
+
+ Returns
+ -------
+ out: number
+ Quantile value.
+
+ Examples
+ --------
+ > var xbuf = [ 1.0, 2.0, 3.0, 4.0 ];
+ > var dt = 'generic';
+ > var sh = [ xbuf.length ];
+ > var sx = [ 1 ];
+ > var ox = 0;
+ > var ord = 'row-major';
+ > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord );
+ > {{alias}}( [ x ], 0.5 )
+ 2.5
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/quantile/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/docs/types/index.d.ts
new file mode 100644
index 000000000000..bde044fe6a73
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/docs/types/index.d.ts
@@ -0,0 +1,46 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the p-th quantile of a sorted one-dimensional ndarray.
+*
+* @param arrays - array-like object containing a sorted input ndarray
+* @param p - quantile probability in the interval [0,1]
+* @returns quantile value
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = [ 1.0, 2.0, 3.0, 4.0 ];
+* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = quantile( [ x ], 0.5 );
+* // returns ~2.5
+*/
+declare function quantile( arrays: [ T ], p: number ): number;
+
+
+// EXPORTS //
+
+export = quantile;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/quantile/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/docs/types/test.ts
new file mode 100644
index 000000000000..1f55df2e8e0b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/docs/types/test.ts
@@ -0,0 +1,73 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import quantile = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'generic'
+ });
+
+ quantile( [ x ], 0.5 ); // $ExpectType number
+}
+
+// The compiler throws an error if the first argument is not an array of ndarrays...
+{
+ quantile( '10', 0.5 ); // $ExpectError
+ quantile( 10, 0.5 ); // $ExpectError
+ quantile( true, 0.5 ); // $ExpectError
+ quantile( false, 0.5 ); // $ExpectError
+ quantile( null, 0.5 ); // $ExpectError
+ quantile( undefined, 0.5 ); // $ExpectError
+ quantile( [], 0.5 ); // $ExpectError
+ quantile( {}, 0.5 ); // $ExpectError
+ quantile( (x: number): number => x, 0.5 ); // $ExpectError
+}
+
+// The compiler throws an error if the second argument is not a number...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'generic'
+ });
+
+ quantile( [ x ], '0.5' ); // $ExpectError
+ quantile( [ x ], true ); // $ExpectError
+ quantile( [ x ], false ); // $ExpectError
+ quantile( [ x ], null ); // $ExpectError
+ quantile( [ x ], undefined ); // $ExpectError
+ quantile( [ x ], [] ); // $ExpectError
+ quantile( [ x ], {} ); // $ExpectError
+}
+
+// The compiler throws an error if the wrong number of arguments is provided...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'generic'
+ });
+
+ quantile(); // $ExpectError
+ quantile( [ x ] ); // $ExpectError
+ quantile( [ x ], 0.5, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/quantile/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/examples/index.js
new file mode 100644
index 000000000000..2dfe5e27465c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/examples/index.js
@@ -0,0 +1,36 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var linspace = require( '@stdlib/array/linspace' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var quantile = require( './../lib' );
+var v;
+
+// Create a linearly spaced sorted array:
+var xbuf = linspace( 0.0, 10.0, 11 );
+
+var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+
+console.log( ndarray2array( x ) );
+
+// Compute a quantile (0.5 -> median)
+v = quantile( [ x ], 0.5 );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/quantile/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/lib/index.js
new file mode 100644
index 000000000000..f0c54d3505f6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/lib/index.js
@@ -0,0 +1,44 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Compute the p-th quantile of a sorted one-dimensional ndarray.
+*
+* @module @stdlib/stats/base/ndarray/quantile
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var quantile = require( '@stdlib/stats/base/ndarray/quantile' );
+*
+* var xbuf = [ 1.0, 2.0, 3.0, 4.0 ];
+* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = quantile( [ x ], 0.5 );
+* // returns 2.5
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/quantile/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/lib/main.js
new file mode 100644
index 000000000000..c7766c9299ae
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/lib/main.js
@@ -0,0 +1,92 @@
+/* eslint-disable no-mixed-operators */
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var ceil = require( '@stdlib/math/base/special/ceil' );
+
+// TODO: replace with final strided implementation once created:
+
+// var strided = require( '@stdlib/stats/strided/quantile' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the p-th quantile of a sorted one-dimensional ndarray.
+*
+* @param {ArrayLikeObject} arrays - array-like object containing a sorted input ndarray
+* @param {number} p - quantile probability in [0,1]
+* @returns {number} quantile value
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var quantile = require( '@stdlib/stats/base/ndarray/quantile' );
+*
+* var xbuf = [ 1.0, 2.0, 3.0, 4.0 ];
+* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = quantile( [ x ], 0.5 );
+* // returns 2.5
+*/
+function quantile( arrays, p ) {
+ var offset;
+ var stride;
+ var data;
+ var idx;
+ var hi;
+ var lo;
+ var v1;
+ var v2;
+ var n;
+ var x;
+
+ x = arrays[ 0 ];
+ n = numelDimension( x, 0 );
+ stride = getStride( x, 0 );
+ offset = getOffset( x );
+ data = getData( x );
+
+ if ( n <= 0 ) {
+ return NaN;
+ }
+ if ( p < 0.0 || p > 1.0 ) {
+ return NaN;
+ }
+
+ idx = ( n - 1 ) * p;
+ hi = ceil( idx );
+ lo = floor( idx );
+ v1 = data[ offset + lo * stride ];
+ v2 = data[ offset + hi * stride ];
+
+ return ( lo === hi ) ? v1 : v1 + ( idx - lo ) * ( v2 - v1 );
+}
+
+
+// EXPORTS //
+
+module.exports = quantile;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/quantile/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/package.json
new file mode 100644
index 000000000000..37f23a91cd38
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/package.json
@@ -0,0 +1,68 @@
+{
+ "name": "@stdlib/stats/base/ndarray/quantile",
+ "version": "0.0.0",
+ "description": "Compute the p-th quantile of a sorted one-dimensional ndarray.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "statistics",
+ "stats",
+ "mathematics",
+ "math",
+ "quantile",
+ "percentile",
+ "quartile",
+ "iqr",
+ "distribution",
+ "ordered statistics",
+ "sorted",
+ "ndarray"
+ ],
+ "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/quantile/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/test/test.js
new file mode 100644
index 000000000000..6730d278cda0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/quantile/test/test.js
@@ -0,0 +1,112 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var quantile = require( './../lib' );
+
+
+// FIRST TEST MUST COME BEFORE ANY OTHER CODE //
+
+tape( 'main export is a function', mainExport );
+function mainExport( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof quantile, 'function', 'main export is a function' );
+ t.end();
+}
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Collection} buffer - underlying data buffer
+* @param {NonNegativeInteger} length - number of indexed elements
+* @param {integer} stride - stride length
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} one-dimensional ndarray
+*/
+function vector( buffer, length, stride, offset ) {
+ return new ndarray( 'generic', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'the function has an arity of 2', arity );
+function arity( t ) {
+ t.strictEqual( quantile.length, 2, 'has expected arity' );
+ t.end();
+}
+
+tape( 'the function computes quantiles of a sorted one-dimensional ndarray', computeQuantiles );
+function computeQuantiles( t ) {
+ var x = [ 1.0, 2.0, 3.0, 4.0 ];
+ var v;
+
+ v = quantile( [ vector( x, 4, 1, 0 ) ], 0.5 );
+ t.strictEqual( v, 2.5, 'returns expected value for p=0.5 (median)' );
+
+ v = quantile( [ vector( x, 4, 1, 0 ) ], 0.25 );
+ t.strictEqual( v, 1.75, 'returns expected value for p=0.25 (Q1)' );
+
+ v = quantile( [ vector( x, 4, 1, 0 ) ], 0.75 );
+ t.strictEqual( v, 3.25, 'returns expected value for p=0.75 (Q3)' );
+
+ t.end();
+}
+
+tape( 'if provided an empty vector, the function returns NaN', emptyVector );
+function emptyVector( t ) {
+ var v = quantile( [ vector( [], 0, 1, 0 ) ], 0.5 );
+ t.strictEqual( isnan( v ), true, 'returns NaN' );
+ t.end();
+}
+
+tape( 'the function supports non-unit strides', nonUnitStrides );
+function nonUnitStrides( t ) {
+ var x = [ 1.0, 2.0, 3.0, 4.0 ];
+ var v = quantile( [ vector( x, 2, 2, 0 ) ], 0.5 );
+ t.strictEqual( v, 2.0, 'returns expected value' );
+ t.end();
+}
+
+tape( 'the function supports negative strides', negativeStrides );
+function negativeStrides( t ) {
+ var x = [ 1.0, 2.0, 3.0, 4.0 ];
+ var v = quantile( [ vector( x, 4, -1, 3 ) ], 0.5 );
+ t.strictEqual( v, 2.5, 'returns expected value' );
+ t.end();
+}
+
+tape( 'the function returns NaN when p is outside [0,1]', invalidProbability );
+function invalidProbability( t ) {
+ var x = [ 1.0, 2.0, 3.0 ];
+
+ t.strictEqual( isnan( quantile( [ vector( x, 3, 1, 0 ) ], -0.1 ) ), true, 'returns NaN for p < 0' );
+ t.strictEqual( isnan( quantile( [ vector( x, 3, 1, 0 ) ], 1.1 ) ), true, 'returns NaN for p > 1' );
+
+ t.end();
+}