Create Upset plots using a combination of 'ggplot2' and 'patchwork'.

The definition of fuzzy random variable and the methods of simulation from fuzzy random variables are two challenging statistical problems in three recent decades. This package is organized based on a special definition of fuzzy random variable and simulate fuzzy random variable by Piecewise Linear Fuzzy Numbers (PLFNs); see Coroianua et al. (2013) <doi:10.1016/j.fss.2013.02.005> for details about PLFNs. Some important statistical functions are considered for obtaining the membership function of main statistics, such as mean, variance, summation, standard deviation and coefficient of variance. Some of applied advantages of 'Sim.PLFN' package are:  (1) Easily generating / simulation a random sample of PLFN, (2) drawing the membership functions of the simulated PLFNs or the membership function of the statistical result, and (3) Considering the simulated PLFNs for arithmetic operation or importing into some statistical computation. Finally, it must be mentioned that 'Sim.PLFN' package works on the basis of 'FuzzyNumbers' package.

Identifies constant, additive, multiplicative, and user-defined 
    simplivariate components in numeric data matrices using a genetic algorithm. 
    Supports flexible pattern definitions and provides visualization for 
    general biclustering applications across diverse domains. The method builds 
    on simplivariate models as introduced in Hageman et al. (2008) 
    <doi:10.1371/journal.pone.0003259> and is related to biclustering 
    frameworks as reviewed by Madeira and Oliveira (2004) <doi:10.1109/TCBB.2004.2>.

Provides an implementation of simplicial complexes for 
    Topological Data Analysis (TDA). The package includes functions to 
    compute faces, boundary operators, Betti numbers, Euler characteristic, 
    and to construct simplicial complexes. It also implements persistent 
    homology, from building filtrations to computing persistence diagrams, 
    with the aim of helping readers understand the core concepts of 
    computational topology.
    Methods are based on standard references in persistent homology such as 
    Zomorodian and Carlsson (2005) <doi:10.1007/s00454-004-1146-y> and 
    Chazal and Michel (2021) <doi:10.3389/frai.2021.667963>.