# Procedures

CompML includes frequentist and Bayesian procedures for ML algorithm comparison.

## Frequentist tests

- Normality: `DAgostinoPearsonTest`, `KolmogorovSmirnovTest`, `ShapiroWilkTest`
- Homoscedasticity: `BartlettTest`, `LeveneTest`
- Parametric: `CorrelatedTTest`, `PairedTTest`, `RepeatedMeasuresANOVATest`
- Non-parametric: `MannWhitneyUTest`, `SignTest`, `SignedRankTest`, `FriedmanTest`,
  `FriedmanAlignedRanksTest`, `KruskalWallisTest`, `QuadeTest`

## Frequentist post-hoc

- `BonferroniPostHoc`
- `FinnerPostHoc`
- `HochbergPostHoc`
- `HollandPostHoc`
- `HolmPostHoc`
- `HommelPostHoc`
- `LiPostHoc`
- `NemenyiPostHoc`
- `RomPostHoc`
- `ShafferPostHoc`

## Bayesian tests and post-hoc

- `BayesianCorrelatedTTest`
- `BayesianSignTest`
- `BayesianSignedRankTest`
- `BayesianHierarchicalTest`
- `BayesianFriedmanTest`
- `BayesianPostHoc`

For signatures and detailed behavior, use the {doc}`API reference <api/index>`.