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2012-04-18 Bump version to 0.10.2.0 and update changelog
1 Changes in 0.10.2.0
2
3 * ContGen instances for all continous distribtuions are added.
4
5 * Beta distribution is added.
6
7 * Constructor for improper gamma distribtuion is added.
8
9 * Binomial distribution allows zero trials.
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11 * Poisson distribution now accept zero parameter.
12
13 * Integer overflow in caculation of Wilcoxon-T test is fixed.
14
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15 Changes in 0.10.1.0
16
17 * Kolmogorov-Smirnov nonparametric test added.
18
19 * Pearson chi squared test added.
20
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21 * Type class for generating random variates for given distribution
22 is added.
23
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24 * Modules 'Statistics.Math' and 'Statistics.Constants' are moved to
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2012-01-13 Fix typos
25 the @math-functions@ package. They are still available but marked
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26 as deprecated.
27
28
29 Changed in 0.10.0.1
30
31 * @dct@ and @idct@ now have type @Vector Double -> Vector Double@
32
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33
34 Changes in 0.10.0.0
35
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36 * The type classes Mean and Variance are split in two. This is
37 required for distributions which do not have finite variance or
38 mean.
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39
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40 * The S.Sample.KernelDensity module has been renamed, and
41 completely rewritten to be much more robust. The older module
42 oversmoothed multi-modal data. (The older module is still
43 available under the name S.Sample.KernelDensity.Simple).
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44
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45 * Histogram computation is added, in S.Sample.Histogram.
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46
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47 * Discrete Fourie transform is added, in S.Transform
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48
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49 * Root finding is added, in S.Math.RootFinding.
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50
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51 * The complCumulative function is added to the Distribution
52 class in order to accurately assess probalities P(X>x) which are
53 used in one-tailed tests.
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54
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55 * A stdDev function is added to the Variance class for
56 distributions.
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57
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58 * The constructor S.Distribution.normalDistr now takes standard
59 deviation instead of variance as its parameter.
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60
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61 * A bug in S.Quantile.weightedAvg is fixed. It produced a wrong
62 answer if a sample contained only one element.
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63
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64 * Bugs in quantile estimations for chi-square and gamma distribution
65 are fixed.
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66
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67 * Integer overlow in mannWhitneyUCriticalValue is fixed. It
68 produced incorrect critical values for moderately large
69 samples. Something around 20 for 32-bit machines and 40 for 64-bit
70 ones.
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71
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72 * A bug in mannWhitneyUSignificant is fixed. If either sample was
73 larger than 20, it produced a completely incorrect answer.
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74
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75 * One- and two-tailed tests in S.Tests.NonParametric are selected
76 with sum types instead of Bool.
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77
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78 * Test results returned as enumeration instead of @Bool@.
79
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80 * Performance improvements for Mann-Whitney U and Wilcoxon tests.
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81
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82 * Module @S.Tests.NonParamtric@ is split into @S.Tests.MannWhitneyU@
83 and @S.Tests.WilcoxonT@
84
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85 * sortBy is added to S.Function.
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86
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87 * Mean and variance for gamma distribution are fixed.
88
89 * Much faster cumulative probablity functions for Poisson and
90 hypergeometric distributions.
91
92 * Better density functions for gamma and Poisson distributions.
93
94 * Student-T, Fisher-Snedecor F-distributions and Cauchy-Lorentz
95 distrbution are added.
96
97 * The function S.Function.create is removed. Use generateM from
98 the vector package instead.
99
100 * Function to perform approximate comparion of doubles is added to
101 S.Function.Comparison
102
103 * Regularized incomplete beta function and its inverse are added to
104 S.Function
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