Tools to create a layout for figures made of multiple panels, and
to fill the panels with base, 'lattice', 'ggplot2' and 'ComplexHeatmap'
plots, grobs, as well as content from all image formats supported by
'ImageMagick' (accessed through 'magick').

Weighted Cox-regression for nested case-control data
This package fit Cox proportional hazard models with a weighted
partial likelihood. It handles one or multiple endpoints, additional matching
and makes it possible to reuse controls for other endpoints.

Weighted Cox-Regression for Nested Case-Control Data
Fits Cox proportional hazard models with a weighted partial
likelihood. It handles one and multiple endpoints, additional matching
and makes it possible to reuse controls for other endpoints.

Fit Cox proportional hazard models with a weighted
partial likelihood. It handles one or multiple endpoints, additional matching
and makes it possible to reuse controls for other endpoints.

Weighted Cox-regression for Nested Case-Control Data

Additive and Multiplicative Null Models for Multiple Stressor
Data
c(person(given = "Benjamin",
family = "Burgess",
role = c("aut", "cre"),
email = "benjamin.joshua.burgess@gmail.com",
comment = c(ORCID = "0000-0003-0439-0061")),
person(given = "David",
family = "Murrell",
role = c("aut")))
An implementation of the additive (Gurevitch et al., 2000 <doi:10.1086/303337>)
and multiplicative (Lajeunesse, 2011 <doi:10.1890/11-0423.1>) factorial null models for
multiple stressor data (Burgess et al., 2021 <doi:10.1101/2021.07.21.453207>). Effect sizes
are able to be calculated for either null model, and subsequently classified into one of
four different interaction classifications (e.g., antagonistic or synergistic interactions).
Analyses can be conducted on data for single experiments through to large meta-analytical datasets.
Minimal input (or statistical knowledge) is required, with any output easily understood.
Summary figures are also able to be easily generated.
Benjamin Burgess [aut, cre] (<https://orcid.org/0000-0003-0439-0061>),
David Murrell [aut]