Plot publication-grade gene and genome maps
genoPlotR draws gene or genome maps and comparisons
between these, in a publication-grade manner. Starting from
simple, common files, it will draw postscript or pdf files that
can be sent as such to journals

Plot Publication-Grade Gene and Genome Maps
Draws gene or genome maps and comparisons between these, in a
publication-grade manner. Starting from simple, common files, it will
draw postscript or PDF files that can be sent as such to journals.

genoPlotR draws gene or genome maps and comparisons between
these, in a publication-grade manner. Starting from simple, common files,
it will draw postscript or pdf files that can be sent as such to journals

Draws gene or genome maps and comparisons between these, in a
publication-grade manner. Starting from simple, common files, it will
draw postscript or pdf files that can be sent as such to journals.

Calculates Agresti's (1980) <https://www.jstor.org/stable/2530495> generalized odds ratios.
For a randomly selected pair of observations
from two groups, calculates the odds that
the second group will have a higher scoring outcome
than that of the first group.
Package provides hypothesis testing for if this odds
ratio is significantly different to 1 (equal chance).

Calculates Agresti's generalized odds ratios.
For a randomly selected pair of observations
from two groups, calculates the odds that
the second group will have a higher scoring outcome
than that of the first group.
Package provides hypothesis testing for if this odds
ratio is significantly different to 1 (equal chance).

Methods for Analysing Forensic Ancestry Informative Markers
leaflet, shiny, shinyjs, knitr, DT, shinycssloaders, purrr,
dplyr, magrittr, tidyr, ggplot2, tibble, forcats, readr,
rmarkdown, rio, maps, shinyWidgets, rlang
Evaluates likelihood ratio tests for alleged ancestry. Implements the methods of Tvedebrink et al (2018) <doi:10.1016/j.tpb.2017.12.004>.

leaflet, shiny, shinyjs, knitr, DT, shinycssloaders, purrr,
dplyr, magrittr, tidyr, ggplot2, tibble, forcats, readr,
rmarkdown, rio