The card game War is simple in its rules but can be lengthy. In
    another domain, the nonparametric bootstrap test with pooled resampling
    (nbpr) methods, as outlined in Dwivedi, Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>,
    is optimal for comparing paired or unpaired means in non-normal data,
    especially for small sample size studies. However, many researchers are
    unfamiliar with these methods. The 'bootwar' package bridges this gap by
    enabling users to grasp the concepts of nbpr via Boot War, a variation of the
    card game War designed for small samples. The package provides functions like
    score_keeper() and play_round() to streamline gameplay and scoring. Once a
    predetermined number of rounds concludes, users can employ the analyze_game()
    function to derive game results. This function leverages the 'npboottprm'
    package's nonparboot() to report nbpr results and, for comparative analysis,
    also reports results from the 'stats' package's t.test() function. Additionally,
    'bootwar' features an interactive 'shiny' web application, bootwar(). This
    offers a user-centric interface to experience Boot War, enhancing understanding
    of nbpr methods across various distributions, sample sizes, number of bootstrap
    resamples, and confidence intervals.

Provides significance tests for second-order stationarity
	for time series using bootstrap wavelet packet tests.
	Provides functionality to visualize the time series with
	the results of the hypothesis tests superimposed.
	The methodology is described in Cardinali, A and Nason, G P (2016)
	"Practical powerful wavelet packet tests for second-order stationarity."
	Applied and Computational Harmonic Analysis, 44, 558-585
	<doi:10.1016/j.acha.2016.06.006>.

Computes Bayesian A- and D-optimal block designs under the linear mixed effects model settings 
	using block/array exchange algorithm of Debusho, Gemechu and Haines (2018) <doi:10.1080/03610918.2018.1429617> where the interest is in a 
	comparison of all possible elementary treatment contrasts. The package also provides an optional 
	method of using the graphical user interface (GUI) R package 'tcltk' to ensure that it is user friendly.