Implements the Welch-Satterthwaite approximation for differences
    of non-standardized t-distributed random variables in both univariate and 
    multivariate settings. The package provides methods for computing effective
    degrees of freedom and scale parameters, as well as distribution functions
    for the approximated difference distribution. The methodology extends the
    classical Welch-Satterthwaite framework from variance combinations to
    t-distribution differences through careful moment matching. Methods build
    on the classical Welch-Satterthwaite approach described in Welch (1947)
    <doi:10.1093/biomet/34.1-2.28> and Satterthwaite (1946) <doi:10.2307/3002019>.

Tools for a wavelet-based approach to analyzing spatial synchrony, principally in ecological data. Some tools will be useful for studying community synchrony. See, for instance, Sheppard et al (2016) <doi: 10.1038/NCLIMATE2991>, Sheppard et al (2017) <doi: 10.1051/epjnbp/2017000>, Sheppard et al (2019) <doi: 10.1371/journal.pcbi.1006744>.

Perform the calculation of W-test, diagnostic checking, calculate
    minor allele frequency (MAF) and odds ratio.

Computes the Weighted Topological Overlap with positive and negative signs (wTO) networks given a data frame containing the mRNA count/ expression/ abundance per sample, and a vector containing the interested nodes of interaction (a subset of the elements of the full data frame). It also computes the cut-off threshold or p-value based on the individuals bootstrap or the values reshuffle per individual. It also allows the construction of a consensus network, based on multiple wTO networks. The package includes a visualization tool for the networks.  More about the methodology can be found at <doi:10.1186/s12859-018-2351-7>.

Evaluation of alternatives based on multiple criteria using weighted technique for Order preference by similarity to an ideal solution method. Reference: Hwang CL. (1981, ISBN:978-3-540-10558-9).

Allows form managers to download entries from their respondents
    using Wufoo JSON API (<https://www.wufoo.com>). Additionally, the Wufoo reports - when public - can be
    also acquired programmatically. Note that building new forms within this package
    is not supported.