XMRs combine X-Bar control charts and Moving Range control charts. These functions also will recalculate the reference lines when significant change has occurred.

Fit a two-step kernel ridge regression model for
        predicting edges in networks, and carry out cross-validation
        using shortcuts for swift and accurate performance assessment
        (Stock et al, 2018 <doi:10.1093/bib/bby095> ).

Tests whether a set of counts fit a given expected ratio. For
    example, a genetic cross might be expected to produce four types in the
    relative frequencies of 9:3:3:1. To see whether a set of observed counts
    fits this expectation, one can examine all possible outcomes with xmulti() or a
    random sample of them with xmonte() and find the probability of an observation
    deviating from the expectation by at least as much as the observed. As a
    measure of deviation from the expected, one can use the log-likelihood
    ratio, the multinomial probability, or the classic chi-square statistic. A
    histogram of the test statistic can also be plotted and compared with the
    asymptotic curve.

Analysis of crossover interference in experimental crosses,
    particularly regarding the gamma model. See, for example,
    Broman and Weber (2000) <doi:10.1086/302923>.

Implements exact algorithms for computing the distributions
    of the maximum, the minimum, the range, and the sum of the J largest
    order statistics of a multinomial random vector. Two complementary
    algorithm families are provided: the recursive tree-traversal method
    of Bonetti, Cirillo, and Ogay (2019) <doi:10.1098/rsos.190198>, which
    covers all four statistics under the equiprobable hypothesis; and the
    stochastic matrix method of Corrado (2011)
    <doi:10.1007/s11222-010-9174-3>, which handles the maximum, minimum,
    and range for arbitrary probability vectors.  Functions for power
    evaluation and sample size determination for goodness-of-fit tests
    based on these order statistics are also provided.  Computationally
    intensive routines are implemented in 'C++' for efficiency.