Class Summary |
BootstrapStatistics |
computation of bootstrap estimators (BIAS, SD, VAR, CI)
given a statistic theta and corresponding bootstrap replicates.
|
ChiSquareDistribution |
chi-square distribution
(distribution of sum of squares of n uniform random variables)
(Parameter: n; mean: n; variance: 2*n)
The chi-square distribution is a special case of the Gamma distribution
(shape parameter = n/2.0, scale = 2.0). |
ChiSquareTest |
chi-square test |
ContigencyTable |
Class for permuting contigency tables and determining the likelihood of the table.
|
DiscreteStatistics |
simple discrete statistics (mean, variance, cumulative probability, quantiles etc.) |
ExponentialDistribution |
exponential distribution.
|
FisherExact |
This does a one tail fisher exact test.
|
GammaDistribution |
gamma distribution.
|
KishinoHasegawaTest |
Kishino-Hasegawa-(Templeton)-Test (1989, 1983) to
compare a set of evolutionary hypotheses |
LikelihoodRatioTest |
Likelihood ratio test based on chi-square statistics |
ModelSupport |
Computes Akaike weights and expected Akaike weights
(relative evidence, expected relative evidence)
for a set of models and computes corresponding confidence sets |
NormalDistribution |
normal distribution (pdf, cdf, quantile) |
ParetoDistribution |
Pareto distribution
(scale-free distribution without characteristic length scale).
|
PenalizedLikelihood |
Penalized likelihood criteria |
ShimodairaHasegawaTest |
Shimodaira-Hasegawa-Test (1999) to
compare a set of evolutionary hypotheses |
Classes with useful for statistics (normal distribution,
Gamma distribution, chi-square distribution, exponential distribution,
likelihood-ratio test, chi-square test, descriptive statistics, bootstrap estimators etc.)