-
-
Notifications
You must be signed in to change notification settings - Fork 400
/
index.d.ts
132 lines (124 loc) · 2.77 KB
/
index.d.ts
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
/*
* @license Apache-2.0
*
* Copyright (c) 2019 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: 2.0
/**
* Evaluates the quantile function for a geometric distribution.
*
* ## Notes
*
* - If `r < 0` or `r > 1`, the function returns `NaN`.
*
* @param r - input value
* @returns evaluated quantile function
*/
type Unary = ( r: number ) => number;
/**
* Interface for the quantile function of a geometric distribution.
*/
interface Quantile {
/**
* Evaluates the quantile function for a geometric distribution with success probability `p` at a probability `r`.
*
* ## Notes
*
* - If `r < 0` or `r > 1`, the function returns `NaN`.
* - If `p < 0` or `p > 1`, the function returns `NaN`.
*
* @param r - input value
* @param p - success probability
* @returns evaluated quantile function
*
* @example
* var y = quantile( 0.8, 0.4 );
* // returns 3
*
* @example
* var y = quantile( 0.5, 0.4 );
* // returns 1
*
* @example
* var y = quantile( 0.9, 0.1 );
* // returns 21
*
* @example
* var y = quantile( -0.2, 0.1 );
* // returns NaN
*
* @example
* var y = quantile( NaN, 0.8 );
* // returns NaN
*
* @example
* var y = quantile( 0.4, NaN );
* // returns NaN
*
* @example
* var y = quantile( 0.5, -1.0 );
* // returns NaN
*
* @example
* var y = quantile( 0.5, 1.5 );
* // returns NaN
*/
( r: number, p: number ): number;
/**
* Returns a function for evaluating the quantile function for a geometric distribution with success probability `p`.
*
* @param p - success probability
* @returns quantile function
*
* @example
* var myquantile = quantile.factory( 0.4 );
* var y = myquantile( 0.4 );
* // returns 0
*
* y = myquantile( 0.8 );
* // returns 3
*
* y = myquantile( 1.0 );
* // returns Infinity
*/
factory( p: number ): Unary;
}
/**
* Geometric distribution quantile function.
*
* @param r - input value
* @param p - success probability
* @returns evaluated quantile function
*
* @example
* var y = quantile( 0.8, 0.4 );
* // returns 3
*
* y = quantile( 0.5, 0.4 );
* // returns 1
*
* var myquantile = quantile.factory( 0.4 );
* y = myquantile( 0.4 );
* // returns 0
*
* y = myquantile( 0.8 );
* // returns 3
*
* y = myquantile( 1.0 );
* // returns Infinity
*/
declare var quantile: Quantile;
// EXPORTS //
export = quantile;