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data/H03-May-2022-195164

generators/H11-Dec-2000-202116

READMEH A D12-Dec-20003.6 KiB9475

tdrfmod.cH A D07-Dec-20003.9 KiB13249

tdrmod.cH A D24-Oct-20003.1 KiB9435

tevfmod.cH A D24-Oct-20003.4 KiB12246

tevmod.cH A D24-Oct-20002.7 KiB10133

tfmest.cH A D11-Dec-20006.1 KiB19595

tfsread.cH A D07-Dec-20001.6 KiB6017

tmest.cH A D11-Dec-20004.9 KiB16469

tparma.cH A D11-Dec-20003.1 KiB9539

tresid.cH A D11-Dec-20003.5 KiB12237

tsany.cH A D11-Dec-20003 KiB9431

tsarma.cH A D24-Oct-20002.1 KiB8531

tsdiff.cH A D24-Oct-20002.2 KiB7319

tsread.cH A D07-Dec-20001.5 KiB5916

txmean.cH A D11-Dec-20002 KiB7423

README

1     This directory contains test code for the functions of the 'tseries'
2     segment of the CCM math library. Each test code file has a sample
3     of the correct output appended to it. Input data files named in
4     the test code header, are in the 'data' sub-directory.
5
6     The 'data' subdirectory contains time-series model definition files.
7     The format of these definition files is specfied below.
8
9     The 'generators' subdirectory contains the source code of programs
10     that will generate the sequence of a specfied time series.
11
12
13     Note: If your machine is big-endian or it employs a floating point
14           format different from the IEEE 64 bit standard for doubles
15           you must regenerate some of the test data files in the 'data'
16           subdirectory. See the 'generators' sub-directory README file
17           for directions on this.
18
19
20     ----------------------------------------
21     Format of time series model data files
22     ----------------------------------------
23 Time series model definition files
24-------------------------------------------------------------------------
25 A. Ordinary ARMA model definition
26
27    nar  nma           (# autoregressive  # moving average)
28    p1   lag1
29    -    -           ( parameter - lag list
30    -    -              AR then MA , # = nar + nma = np )
31    pN   lagN
32
33    random_seed
34
35 B. FACTOR model definition
36
37    nfc nar nma ndif   (# factors # autoregressive # moving average
38                        #difference order )
39    p1    lag1
40    -     -            ( parameter - lag list
41    -     -              factor , AR , MA ;  # = nfc + nar +nma = np )
42    pN    lagN
43
44    random_seed
45
46--------------------------------------------------------------------------
47
48     In the 'data' subdirectory files with a name beginning with 'tsf'
49     refer to factor models, while files with a name 'ts' refer to
50     ordinary ARIMA models. The sufix describes the type of file, with
51
52          .dat  files contain a model definition
53                ( used as input to generate a series)
54          .d    files contain a model specification
55                ( definition sans parameter values
56                  used as input to estimate a time series fit)
57          .b    files contain the binary data of a time series
58                ( generated by 'garma' (ARIMA) modesl or by
59                  'gfarma' (factor models) )
60          .er   files contain the resuidal output from a
61                model estimation attempt (this is optional
62                output from the estimation programs and can
63                be used as input to the residual analysis
64                program tresid.c)
65
66     Note: It is instructive to run test estimations in which the
67           model specification (.d file) does not match the
68           definition file used to create the series!
69
70     The following list specifies the command line parameters and
71     prompt responses required to run the standard tests, whose
72     output is appended to the test source code. A prompt may
73     specify several parameters.
74
75
76     tdrfmod    20  data/tfs2.dat
77     tdrmod     20  data/ts1.dat
78     tevfmod    30  data/tfs0.dat
79     tevmod     30  data/ts2.dat
80     tfmest     data/tfs0.d  data/tfs0.b
81                prompt response sequence: s s s f q n
82     tfsread    data/tfs0.b
83     tmest      data/ts0.d  data/ts0.b
84                prompt response sequence: s s s f f q n
85     tparma     data/ts2.dat
86     tresid     data/ts0.er
87                prompt responses: 20 -4 4 16 : n
88     tsany      data/ts0.b
89                prompt response: 0 2 20
90     tsarma     20  data/ts2.dat
91     tsdiff     2  data/ts6.b
92     tsread     data/ts0.b
93     txmean     data/ts6.b
94