Provides tools for performing Bayesian inference on epidemiological 
  data to estimate the time-varying reproductive number and other related metrics.
  These methods were published in Li and White (2021) <doi:10.1371/journal.pcbi.1009210>.
  This package supports analyses based on aggregated case count data and individual line list 
  data, facilitating enhanced surveillance and intervention planning for infectious 
  diseases like COVID-19.

Create maps made of lines. The package contains one function:
    linemap(). linemap() displays a map made of lines using a
    raster or gridded data.

Fits a linear excess relative risk model by maximum likelihood, possibly including several variables and allowing for lagged exposures.

Tools for detecting and correcting sample mix-ups between two sets
    of measurements, such as between gene expression data on two tissues.
    Broman et al. (2015) <doi:10.1534/g3.115.019778>.

Tools for detecting and correcting sample mix-ups between two sets
    of measurements, such as between gene expression data on two
    tissues. This is a revised version of the 'lineup' package, to be
    more general and not tied to the 'qtl' package.

'LineUp' is an interactive technique designed to create, visualize and explore rankings of items based on a set of heterogeneous attributes.
  This is a 'htmlwidget' wrapper around the JavaScript library 'LineUp.js'.
  It is designed to be used in 'R Shiny' apps and 'R Markddown' files.
  Due to an outdated 'webkit' version of 'RStudio' it won't work in the integrated viewer.

Evaluates whether the relationship between two vectors is linear or nonlinear. Performs a test to determine how well a linear model fits the data compared to higher order polynomial models. Jhang et al. (2004) <doi:10.1043/1543-2165(2004)128%3C44:EOLITC%3E2.0.CO;2>.

Create interactive time series visualizations.
    'linevis' includes an extensive API to manipulate time series after creation,
    and supports getting data out of the visualization. Based on the
    'timevis' package and the 'vis.js' Timeline 'JavaScript' library <https://visjs.github.io/vis-timeline/docs/graph2d/>.