A simple implementation of doughnut plots - pie charts with a blank center. The package is named after Homer Simpson - arguably the best-known lover of doughnuts.

Provides methods for closed testing using Simes local tests. In particular, calculates adjusted p-values for Hommel's multiple testing method, and provides lower confidence bounds for true discovery proportions. A robust but more conservative variant of the closed testing procedure that does not require the assumption of Simes inequality is also implemented. The methods have been described in detail in Goeman et al (Biometrika 106, 841-856, 2019).

Most common exact, asymptotic and resample based tests are provided for testing the 
            homogeneity of variances of k normal distributions under normality. 
            These tests are Barlett, Bhandary & Dai, Brown & Forsythe, Chang et al., Gokpinar & Gokpinar, Levene, Liu and Xu, Gokpinar. 
            Also, a data generation function from multiple normal distribution is provided using any multiple normal parameters.  
            Bartlett, M. S. (1937) <doi:10.1098/rspa.1937.0109> 
            Bhandary, M., & Dai, H. (2008) <doi:10.1080/03610910802431011>
            Brown, M. B., & Forsythe, A. B. (1974).<doi:10.1080/01621459.1974.10482955>
            Chang, C. H., Pal, N., & Lin, J. J. (2017) <doi:10.1080/03610918.2016.1202277>
            Gokpinar E. & Gokpinar F. (2017) <doi:10.1080/03610918.2014.955110>
            Liu, X., & Xu, X. (2010) <doi:10.1016/j.spl.2010.05.017>
            Levene, H. (1960) <https://cir.nii.ac.jp/crid/1573950400526848896>
            Gökpınar, E. (2020) <doi:10.1080/03610918.2020.1800037>.

A wrapper for the homologene database by the National Center for
    Biotechnology Information ('NCBI'). It allows searching for gene homologs across 
    species. Data in this package can be found at <ftp://ftp.ncbi.nih.gov/pub/HomoloGene/build68/>.
    The package also includes an updated version of the homologene database where 
    gene identifiers and symbols are replaced with their latest (at the time of
    submission) version and functions to fetch latest annotation data to keep updated.