catmap is an R package that conducts fixed-effects (inverse variance) and random-effects (DerSimonian and Laird, 1986) meta-analyses of case-control or family-based (TDT) genetic data; in addition, it performs meta-analyses combining these two types of study designs.  The fixed-effects model was first described by Kazeem and Farrell (2005); the random-effects model is described in Nicodemus (submitted).

Case-Control and TDT Meta-Analysis Package
c(
person("Thomas", "Quinn", email = "contacttomquinn@gmail.com", role = c("aut", "cre")),
person("Kristin", "Nicodemus", email = "kristin.nicodemus@igmm.ed.ac.uk", role = "aut"),
person("Glaucia", "Martins", email = "glauciachiyoko@yahoo.com.br", role = "ctb"),
person("Carlos", "Maia", email = "crm.maia@gmail.com", role = "ctb")
)
Although many software tools can perform meta-analyses on genetic case-control data,
none of these apply to combined case-control and family-based (TDT) studies. This package conducts
fixed-effects (with inverse variance weighting) and random-effects [DerSimonian and Laird (1986)
<DOI:10.1016/0197-2456(86)90046-2>] meta-analyses on combined genetic data. Specifically, this package
implements a fixed-effects model [Kazeem and Farrall (2005) <DOI:10.1046/j.1529-8817.2005.00156.x>]
and a random-effects model [Nicodemus (2008) <DOI:10.1186/1471-2105-9-130>] for combined studies.
Thomas Quinn [aut, cre],
Kristin Nicodemus [aut],
Glaucia Martins [ctb],
Carlos Maia [ctb]

catmap is an R package that conducts fixed-effects
(inverse variance) and random-effects (DerSimonian and Laird,
1986) meta-analyses of case-control or family-based (TDT)
genetic data; in addition, it performs meta-analyses combining
these two types of study designs.  The fixed-effects model was
first described by Kazeem and Farrell (2005); the
random-effects model is described in Nicodemus (submitted).

Heatmap for Categorical Data using 'plotly'
c(
person("Yves", "Mauron", email="ypmauron@gmail.com", role=c("aut", "cre")),
person("Aron", "Weller", role="ctb"),
person(given="Trivadis AG", role="cph")
)
Methods and plotting functions for displaying categorical data on an
interactive heatmap using 'plotly'. Provides functionality for strictly
categorical heatmaps, heatmaps illustrating categorized continuous data
and annotated heatmaps. Also, there are various options to interact with the x-axis
to prevent overlapping axis labels, e.g. via simple sliders or range sliders.
Besides the viewer pane, resulting plots can be saved as a standalone HTML file,
embedded in 'R Markdown' documents or in a 'Shiny' app.
plotly, tidyverse, dplyr, lubridate, magrittr, rlang
Yves Mauron [aut, cre],
Aron Weller [ctb],
Trivadis AG [cph]