The Berkeley growth data | Functional data representation | Clustering

Manual specification of the initial seeds | $k$-means++ | Exhaustive $k$-means++ | Exhaustive search | Hierarchial clustering | Final recommandations | References

Definitions | Validation | Distances between nontrivial diagrams | Distances from the trivial diagram | Benchmarks | References

Structure of the class | Supported inputs

Generation of the toy example | The plausibility function | Null specification | Test statistics | Statistic assignments | Instantiation of the plausibility function | Application to the toy example | Scenario A | Scenario B | Scenario C | Inferential tasks via the plausibility function | Point estimation | Confidence intervals | Hypothesis tests | References

Plausibility function for the mean | Plausibility function for the variance | Plausibility function for both mean and variance | References

Traditional formulation of a statistical test | The two-sample problem in a permutational framework | Permutation p-value as an unbiased estimator of $p_\infty$ | Permutation p-value as the tail probability of a resampling distribution | Comparison by empirical evidence | References

Computation without parallel processing | Computation with parallel processing

Plausibility function for 1-ANOVA 🐓 | Plausibility function for 2-ANOVA 🌸 | $$H_0: \begin | \begin | Conclusion

Traditional NHST | Permutation NHST | Non-Parametric Combination | References

Introduction | Installation | Minimizing the Rosenbrock Banana function | Minimization with inequality constraints | Derivative checker | Notes | Description of options | References

Introduction | Representation of functional data | fData | mfData | Subsetting fData | Algebra | Visualization | Statistics | Depths | Mean and median | Covariance and cross-covariance functions | Indexes | Correlation coefficients | Simulation of functional data | Univariate functional data | Multivariate functional data | Robustification | Functional boxplot | Outliergram | References