Make all elements of a character vector unique. 
    Differs from 'make.unique' by starting at 1 and allowing users to customise suffix format.

Implements the Maki (2012) <doi:10.1016/j.econmod.2012.04.022>
    residual-based test for cointegration allowing for an unknown number of
    structural breaks. Breaks are located by a sequential procedure and the
    cointegrating residual is tested for a unit root with an augmented
    Dickey-Fuller (ADF) regression; the test statistic is the minimum ADF
    t-statistic over all candidate breaks. Four model specifications are
    supported (level shift, level shift with trend, regime shift, and regime
    shift with trend) and one to four regressors. The default engine reproduces
    the original 'GAUSS' / 'tspdlib' implementation, with an optional break rule
    following Maki (2012, Steps 2 and 4). The test runs for any feasible number
    of breaks; beyond the five tabulated by Maki, critical values can be
    simulated by his Monte-Carlo design. A two-panel diagnostic plot is provided
    via 'ggplot2'.

R package associated with the Multiple Approximate Kernel Learning (MAKL) algorithm proposed in <doi:10.1093/bioinformatics/btac241>. The algorithm fits multiple approximate kernel learning (MAKL) models that are fast, scalable and interpretable.

MAle Lineage ANalysis by simulating 
    genealogies backwards and imposing short tandem repeats (STR) mutations forwards. 
    Intended for forensic Y chromosomal STR (Y-STR) haplotype analyses. 
    Numerous analyses are possible, e.g. number of matches and meiotic distance to matches. 
    Refer to papers mentioned in citation("malan") (DOI's: 
    <doi:10.1371/journal.pgen.1007028>, 
    <doi:10.21105/joss.00684> and 
    <doi:10.1016/j.fsigen.2018.10.004>).

Find dark genes. These genes are often disregarded due to no detected mutation or differential expression, but are important in coordinating the functionality in cancer networks.

A suite of tools to allow you to download all 
  publicly available parasite rate survey points, mosquito occurrence points and raster surfaces from 
  the 'Malaria Atlas Project' <https://malariaatlas.org/> servers as well as utility functions for plotting
  the downloaded data.