Methods and tools for implementing functional singular spectrum analysis and related techniques.

Set of functions that enable you to use the FUSION commands (Program available in: <http://forsys.sefs.uw.edu/fusion/fusionlatest.html>).

Computes a novel variable importance for random forests: Impurity reduction importance scores for out-of-bag (OOB) data complementing the existing inbag Gini importance, see also <doi: 10.1080/03610926.2020.1764042>. 
    The Gini impurities for inbag and OOB data are combined in three different ways, after which the information gain is computed at each split.
    This gain is aggregated for each split variable in a tree and averaged across trees.

Sequential permutation testing for statistical
  significance of predictors in random forests. The main function
  of the package is rfvimptest(), which allows to test for the
  statistical significance of predictors in random forests using different 
  (sequential) permutation test strategies. The advantage of
  sequential over conventional permutation tests is that they
  are computationally considerably less intensive, as the sequential
  procedure is stopped as soon as there is sufficient evidence
  for either the null or the alternative hypothesis.

An interactive data visualization and exploration toolkit
    that implements Breiman and Cutler's original random forest Java based        
    visualization tools in R, for supervised and unsupervised classification and 
    regression within the algorithm random forest.

Analyze multi-level one-way
        experimental designs where there are unequal sample
        sizes and population variance homogeneity can not be assumed.
        To conduct the Gabriel test <doi:10.2307/2286265>, create two vectors: one for your 
        observations and one for the factor level of each observation. 
        The function, rgabriel, conduct the test and save the output as
        a vector to input into the gabriel.plot function, which produces 
        a confidence interval plot for Multiple Comparison.