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
/***
simple linear regression
@classmod a.regress_simple
*/
#ifndef LUA_LIBA_REGRESS_SIMPLE_H
#define LUA_LIBA_REGRESS_SIMPLE_H
#include "a.h"
/***
simple linear regression
@field coef regression coefficient
@field bias intercept
@table a.regress_simple
*/
#if defined(__cplusplus)
extern "C" {
#endif /* __cplusplus */
/***
constructor for simple linear regression
@tparam number coef regression coefficient
@tparam number bias intercept
@treturn a.regress_simple simple linear regression userdata
@function new
*/
int liba_regress_simple_new(lua_State *L);
/***
initialize for simple linear regression
@tparam number coef regression coefficient
@tparam number bias intercept
@treturn a.regress_simple simple linear regression userdata
@function init
*/
int liba_regress_simple_init(lua_State *L);
/***
calculate predicted value for simple linear regression
@tparam number val independent variable
@treturn number predicted value
@function eval
*/
int liba_regress_simple_eval(lua_State *L);
/***
calculate predicted value for simple linear regression
@tparam number val dependent variable
@treturn number predicted value
@function evar
*/
int liba_regress_simple_evar(lua_State *L);
/***
ordinary least squares for simple linear regression
@tparam a.regress_simple ctx simple linear regression userdata
@tparam table x predictor data, specified as a numeric vector
@tparam table y response data, specified as a numeric vector
@tparam number x_mean mean of predictor data
@tparam number y_mean mean of response data
@treturn a.regress_simple simple linear regression userdata
@function ols_
*/
int liba_regress_simple_ols_(lua_State *L);
/***
ordinary least squares for simple linear regression
@tparam a.regress_simple ctx simple linear regression userdata
@tparam table x predictor data, specified as a numeric vector
@tparam table y response data, specified as a numeric vector
@tparam number x_mean mean of predictor data
@treturn a.regress_simple simple linear regression userdata
@function olsx
*/
int liba_regress_simple_olsx(lua_State *L);
/***
ordinary least squares for simple linear regression
@tparam a.regress_simple ctx simple linear regression userdata
@tparam table x predictor data, specified as a numeric vector
@tparam table y response data, specified as a numeric vector
@tparam number y_mean mean of response data
@treturn a.regress_simple simple linear regression userdata
@function olsy
*/
int liba_regress_simple_olsy(lua_State *L);
/***
ordinary least squares for simple linear regression
@tparam a.regress_simple ctx simple linear regression userdata
@tparam table x predictor data, specified as a numeric vector
@tparam table y response data, specified as a numeric vector
@treturn a.regress_simple simple linear regression userdata
@function ols
*/
int liba_regress_simple_ols(lua_State *L);
/***
zeroing for simple linear regression
@treturn a.regress_simple simple linear regression userdata
@function zero
*/
int liba_regress_simple_zero(lua_State *L);
#if defined(__cplusplus)
} /* extern "C" */
#endif /* __cplusplus */
#endif /* regress_simple.h */