File: regress.h

package info (click to toggle)
chrony 1.14-7
  • links: PTS
  • area: main
  • in suites: woody
  • size: 1,480 kB
  • ctags: 2,091
  • sloc: ansic: 15,266; sh: 194; makefile: 113
file content (95 lines) | stat: -rw-r--r-- 2,956 bytes parent folder | download
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
/*
  $Header: /cvs/src/chrony/regress.h,v 1.10 1999/04/19 20:27:29 richard Exp $

  =======================================================================

  chronyd/chronyc - Programs for keeping computer clocks accurate.

  Copyright (C) 1997-1999 Richard P. Curnow
  All rights reserved.

  For conditions of use, refer to the file LICENCE.

  =======================================================================

  Header file for regression routine(s)

  */

#ifndef GOT_REGRESS_H
#define GOT_REGRESS_H

extern void
RGR_WeightedRegression
(double *x,                     /* independent variable */
 double *y,                     /* measured data */
 double *w,                     /* weightings (large => data
                                   less reliable) */
 
 int n,                         /* number of data points */

 /* And now the results */

 double *b0,                    /* estimated y axis intercept */
 double *b1,                    /* estimated slope */
 double *s2,                    /* estimated variance (weighted) of
                                   data points */
 
 double *sb0,                   /* estimated standard deviation of
                                   intercept */
 double *sb1                    /* estimated standard deviation of
                                   slope */

 /* Could add correlation stuff later if required */
);

/* Return the weighting to apply to the standard deviation to get a
   given size of confidence interval assuming a T distribution */

extern double RGR_GetTCoef(int dof);

/* Return a status indicating whether there were enough points to
   carry out the regression */

extern int
RGR_FindBestRegression 
(double *x,                     /* independent variable */
 double *y,                     /* measured data */
 double *w,                     /* weightings (large => data
                                   less reliable) */
 
 int n,                         /* number of data points */

 /* And now the results */

 double *b0,                    /* estimated y axis intercept */
 double *b1,                    /* estimated slope */
 double *s2,                    /* estimated variance of data points */
 
 double *sb0,                   /* estimated standard deviation of
                                   intercept */
 double *sb1,                   /* estimated standard deviation of
                                   slope */

 int *new_start,                /* the new starting index to make the
                                   residuals pass the two tests */

 int *n_runs,                   /* number of runs amongst the residuals */

 int *dof                       /* degrees of freedom in statistics (needed
                                   to get confidence intervals later) */

);

int
RGR_FindBestRobustRegression
(double *x,
 double *y,
 int n,
 double tol,
 double *b0,
 double *b1,
 int *n_runs,
 int *best_start);

#endif GOT_REGRESS_H