Functions for making particle-size analysis. Sieve tests are widely used to obtain particle-size distribution of powders or granular materials.

Facilitate extraction of key information from common datasets.

Print function signatures and find overly complicated code.

SigClust is a statistical method for testing the
        significance of clustering results. SigClust can be applied to
        assess the statistical significance of splitting a data set
        into two clusters. For more than two clusters, SigClust can be
        used iteratively.

Uses logistic regression to model the probability of detection as a function of covariates. 
             This model is then used with observational survey data to estimate population size, while
             accounting for uncertain detection.  See Steinhorst and Samuel (1989).

Provides pseudo-likelihood methods for empirically analyzing common signaling games in international relations as described in Crisman-Cox and Gibilisco (2019) <doi:10.1017/psrm.2019.58>.

Interface to 'sigma.js' graph visualization library including animations, plugins and shiny proxies.

Genomic alterations including single nucleotide substitution,
    copy number alteration, etc. are the major force for cancer
    initialization and development. Due to the specificity of molecular
    lesions caused by genomic alterations, we can generate characteristic
    alteration spectra, called 'signature' (Wang, Shixiang, et al. (2021)
    <DOI:10.1371/journal.pgen.1009557> & Alexandrov, Ludmil B., et al.
    (2020) <DOI:10.1038/s41586-020-1943-3> & Steele Christopher D., et al.
    (2022) <DOI:10.1038/s41586-022-04738-6>).  This package helps users to
    extract, analyze and visualize signatures from genomic alteration
    records, thus providing new insight into cancer study.

Several different sigmoid functions are implemented, including a wrapper function, SoftMax preprocessing and inverse functions.

Provides a classification framework to use expression patterns of pathways as features to identify similarity between biological samples. It provides a new measure for quantifying similarity between expression patterns of pathways.