A set of functions that facilitate basic data manipulation and cleaning for statistical analysis including functions for finding and fixing duplicate rows and columns, missing values, outliers, and special characters in column and row names and functions for checking data consistency, distribution, quality, reliability, and structure.

Several generalized / directional Fixed Sequence Multiple Testing
    Procedures (FSMTPs) are developed for testing a sequence of pre-ordered
    hypotheses while controlling the FWER, FDR and Directional Error (mdFWER).
    All three FWER controlling generalized FSMTPs are designed under arbitrary
    dependence, which allow any number of acceptances. Two FDR controlling
    generalized FSMTPs are respectively designed under arbitrary dependence and
    independence, which allow more but a given number of acceptances. Two mdFWER
    controlling directional FSMTPs are respectively designed under arbitrary
    dependence and independence, which can also make directional decisions based
    on the signs of the test statistics. The main functions for each proposed
    generalized / directional FSMTPs are designed to calculate adjusted p-values
    and critical values, respectively. For users' convenience, the functions also
    provide the output option for printing decision rules.

An implementation of the Fizz Buzz algorithm, as defined e.g. in <https://en.wikipedia.org/wiki/Fizz_buzz>. 
    It provides the standard algorithm with 3 replaced by Fizz and 5 replaced by Buzz, with the option of specifying start 
    and end numbers, step size and the numbers being replaced by fizz and buzz, respectively. This package gives 
    interviewers the optional answer of "I use fizzbuzzR::fizzbuzz()" when interviewing rather than having to write an algorithm
    themselves.

Implements the Johansen cointegration test with Fourier-type
    smooth nonlinear deterministic trends restricted to cointegrating
    relations, as developed by Kurita and Shintani (2025)
    <doi:10.1080/07474938.2025.2530640>. Six model variants are
    supported: CNR (constant plus nonlinear, restricted in the
    cointegrating space), LNR (linear plus nonlinear, restricted),
    CNU (constant restricted, nonlinear unrestricted), LNU (linear
    restricted, nonlinear unrestricted), plus the standard constant-
    and linear-trend restricted Johansen models. The package also
    bundles the feasible generalised least squares (FGLS) Wald test of
    Perron, Shintani and Yabu (2017) <doi:10.1111/obes.12169> used as
    a frequency-selection pre-step, together with bundled critical-value
    tables, a vectorised simulator for the limiting distribution,
    publication-quality table exports (LaTeX and HTML) and 'ggplot2'
    figures matching those of the paper.