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Changes in 0.10.0.0 | ||
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* Both type classes Mean and Variance are split in two. This | ||
is required for distributions which do not have finite | ||
variance or mean. | ||
* The type classes Mean and Variance are split in two. This is | ||
required for distributions which do not have finite variance or | ||
mean. | ||
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* complCumulative is added to type class Distribution in order to assess | ||
accurately probalities P(X>x) which is used in one-tailed tests. | ||
* The S.Sample.KernelDensity module has been renamed, and | ||
completely rewritten to be much more robust. The older module | ||
oversmoothed multi-modal data. (The older module is still | ||
available under the name S.Sample.KernelDensity.Simple). | ||
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* stdDev is added to Variance type class for distributions. | ||
* Histogram computation is added, in S.Sample.Histogram. | ||
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* Constructor S.Distribution.normalDistr takes standard deviation | ||
instead of variance as parameter. | ||
* Discrete Fourie transform is added, in S.Transform | ||
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* Bug in S.Quantile.weightedAvg is fixed. It produced wrong answer if | ||
sample contains only one element. | ||
* Root finding is added, in S.Math.RootFinding. | ||
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* Bug in quantile estimations for chi-square and gamma distribution is | ||
fixed. | ||
* The complCumulative function is added to the Distribution | ||
class in order to accurately assess probalities P(X>x) which are | ||
used in one-tailed tests. | ||
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* Integer overlow in mannWhitneyUCriticalValue is fixed. It produced | ||
wrong critical value for moderately large samples. Something around 20 | ||
for 32-bit machines and 40 for 64-bit ones. | ||
* A stdDev function is added to the Variance class for | ||
distributions. | ||
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* Bug in mannWhitneyUSignificant is fixed. If either of samples is larger | ||
than 20 it produced completely wrong answer. | ||
* The constructor S.Distribution.normalDistr now takes standard | ||
deviation instead of variance as its parameter. | ||
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* One and two tailed tests in S.Tests.NonParametric are selected with | ||
enumeration types instead of booleans. | ||
* A bug in S.Quantile.weightedAvg is fixed. It produced a wrong | ||
answer if a sample contained only one element. | ||
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* Performance improvements for Mann-Whitney U and Wilcoxon tests. | ||
* Bugs in quantile estimations for chi-square and gamma distribution | ||
are fixed. | ||
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* sortBy is added to Statistics.Function | ||
* Integer overlow in mannWhitneyUCriticalValue is fixed. It | ||
produced incorrect critical values for moderately large | ||
samples. Something around 20 for 32-bit machines and 40 for 64-bit | ||
ones. | ||
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* Mean and variance for gamma distribution is fixed | ||
* A bug in mannWhitneyUSignificant is fixed. If either sample was | ||
larger than 20, it produced a completely incorrect answer. | ||
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* Much faster cumulutive probablity functions for Poisson and | ||
hyperheometric distributions. | ||
* One- and two-tailed tests in S.Tests.NonParametric are selected | ||
with sum types instead of Bool. | ||
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* Better density function for gamma and Poisson distributions. | ||
* Performance improvements for Mann-Whitney U and Wilcoxon tests. | ||
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* Cauchy-Lorentz distrbution is added. | ||
* sortBy is added to S.Function. | ||
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* Function S.Function.create is removed. Use generateM from vector | ||
package instead. | ||
* Mean and variance for gamma distribution are fixed. | ||
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* Much faster cumulative probablity functions for Poisson and | ||
hypergeometric distributions. | ||
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* Better density functions for gamma and Poisson distributions. | ||
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* Student-T, Fisher-Snedecor F-distributions and Cauchy-Lorentz | ||
distrbution are added. | ||
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* The function S.Function.create is removed. Use generateM from | ||
the vector package instead. | ||
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* Function to perform approximate comparion of doubles is added to | ||
S.Function.Comparison | ||
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* Regularized incomplete beta function and its inverse are added to | ||
S.Function |
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