Authors@R: person("Daniel W.", "Heck", email="dheck@uni-marburg.de",

Title: Fits Multivariate Spatio-Temporal Occupancy Model
Description: Spatio-temporal multivariate occupancy models can handle multiple species in occupancy models.  This method for fitting such models is described in Hepler and Erhardt (2021) "A spatiotemporal model for multivariate occupancy data" <https://onlinelibrary.wiley.com/doi/abs/10.1002/env.2657>.
Imports: MASS, truncnorm, tmvtnorm, fields, interp, MCMCpack, stats

Title: Infrastructure to Assemble Multi-Panel Figures (from Grobs)
Description: Tools to create a layout for figures made of multiple panels, and
to fill the panels with base, 'lattice', 'ggplot2' and 'ComplexHeatmap'
plots, grobs, and PNG, JPEG, SVG and TIFF images.
assertive.types (>= 0.0-3), caTools (>= 1.17.1), ComplexHeatmap
Suggests: grDevices, lattice (>= 0.20-35), roxygen2 (>= 6.0.1),
VennDiagram (>= 1.6.17), knitr, rmarkdown, markdown

assertive.types (>= 0.0-3), caTools (>= 1.17.1), ggplot2 (>=
2.2.1), grid, gridGraphics (>= 0.2), gtable (>= 0.2.0), jpeg
Suggests: ComplexHeatmap (>= 1.14.0), grDevices, lattice (>= 0.20-35),
roxygen2 (>= 6.0.1), VennDiagram (>= 1.6.17), knitr, rmarkdown,

roxygen2 (>= 6.0.1), VennDiagram (>= 1.6.18), knitr, rmarkdown,

Suggests: ComplexHeatmap (>= 1.17.1), grDevices, lattice (>= 0.20-35),
roxygen2 (>= 6.0.1), VennDiagram (>= 1.6.20), knitr, rmarkdown,

to fill the panels with base, lattice and ggplot2 plots, grobs, and PNG,
Imports: assertive.base (>= 0.0-5), assertive.files (>= 0.0-2),
assertive.numbers (>= 0.0-1), assertive.properties (>= 0.0-2),
assertive.types (>= 0.0-2), ggplot2 (>= 2.1.0), grid,
Suggests: grDevices, lattice (>= 0.20-33), roxygen2 (>= 5.0.1),

assertive.types (>= 0.0-3), ggplot2 (>= 2.2.1), grid,

plots, grobs, as well as content from all image formats supported by
magrittr (>= 1.5), stats, stringi (>= 1.2.3), utils

Title: Weighted Cox-regression for nested case-control data
Author: Nathalie C. Stoer, Sven Ove Samuelsen
Maintainer: Nathalie C. Stoer <nathalcs@math.uio.no>
Description: 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.