A compilation of functions to create visually appealing and information-rich
plots of meta-analytic data using 'ggplot2'. Currently allows to create forest plots,
funnel plots, and many of their variants, such as rainforest plots, thick forest plots,
additional evidence contour funnel plots, and sunset funnel plots. In addition, functionalities
for visual inference with the funnel plot in the context of meta-analysis are provided.

Meta-Analytical Implementation to Identify Who Benefits Most
from Treatments
A tool for implementing so called 'deft' approach
(see Fisher, David J., et al. (2017) <DOI:10.1136/bmj.j573>) and model visualization.

A tool for implementing so called 'deft' approach
(see Fisher, David J., et al. (2017) <DOI:10.1136/bmj.j573>) and model
visualization.
dplyr, forestmodel, magrittr, purrr, rlang (>= 0.1.2), stats
covr, knitr, rmarkdown, roxygen2, testthat

Fitting and Plotting Tools for the Maximum Entropy Theory of
Ecology (METE)
Fit and plot macroecological patterns predicted by the Maximum
Entropy Theory of Ecology (METE).

Spatio-Temporal Analysis and Mapping of Meteorological
Observations
Milan Kilibarda, Aleksandar Sekulic, Tomislav Hengl, Edzer Pebesma, Benedikt Graeler
Spatio-temporal geostatistical mapping of meteorological data. Global spatio-temporal models calculated using publicly available data are stored in package.
sp, spacetime, rgdal, gstat, raster, snowfall, plyr

methods, utils, stats, sp, spacetime, rgdal, gstat, raster,
snowfall, plyr

Computation and Visualization of Energetic and Vortical
Atmospheric Quantities
Energy-Vorticity theory (EVT) is the fundamental theory to describe processes in the atmosphere by combining conserved quantities from hydrodynamics and thermodynamics. The package 'meteoEVT' provides functions to calculate many energetic and vortical quantities, like potential vorticity, Bernoulli function and dynamic state index (DSI) [e.g. Weber and Nevir, 2008, <doi:10.1111/j.1600-0870.2007.00272.x>], for given gridded data, like ERA5 reanalyses. These quantities can be studied directly or can be used for many applications in meteorology, e.g., the objective identification of atmospheric fronts. For this purpose, separate function are provided that allow the detection of fronts based on the thermic front parameter [Hewson, 1998, <doi:10.1017/S1350482798000553>], the F diagnostic [Parfitt et al., 2017, <doi:10.1002/2017GL073662>] and the DSI [Mack et al., 2022, <arXiv:2208.11438>].