Provides convenience functions for analyzing factorial experiments
using ANOVA or mixed-models. ez.glm() and aov.car() allow convenient
calculation of between, within (i.e., repeated-measures), or mixed
between-within (i.e., split-plot) ANOVAs for data in the long format (i.e.,
one observation per row) wrapping car::Anova() (aggregating more then one
observation per individual and cell of the design), per default returning a
print ready ANOVA table. Function mixed() fits a mixed model using
lme4::lmer() and computes p-values for all effects in the model using
either the Kenward-Roger approximation of degrees of freedom (LMM only),
parametric bootstrap (LMMs and GLMMs) or likelihood ratio tests (LMMs and
GLMMs). afex uses type 3 sums of squares as default (imitating commercial
statistical software) and sets the default contrasts to contr.sum.
Furthermore, compare.2.vectors() conveniently compares two vectors using a
variety of tests.
c(person(given="Henrik", family="Singmann",
email="henrik.singmann@psychologie.uni-freiburg.de", role=c("aut", "cre")),
person(given="Ben", family="Bolker", role=c("ctb")), person(given="Søren",
family="Højsgaard", role=c("ctb")), person(given="Ulrich", family="Halekoh",
role=c("ctb")), person(given="John", family="Fox", role=c("ctb")),
person(given="Michael A.", family="Lawrence", role=c("ctb")))
Henrik Singmann [aut, cre],
Ben Bolker [ctb],
Søren Højsgaard [ctb],
Ulrich Halekoh [ctb],
John Fox [ctb],
Michael A. Lawrence [ctb]

emmeans (>= 1.4), coin, xtable, parallel, plyr, optimx,
nloptr, knitr, rmarkdown, R.rsp, lattice, latticeExtra,
multcomp, testthat, mlmRev, dplyr, tidyr, dfoptim, Matrix,
psychTools, ggplot2, MEMSS, effects, carData, ggbeeswarm, nlme,
cowplot, jtools, ggpubr, ggpol, MASS, glmmTMB, brms, rstanarm,
statmod, performance (>= 0.7.2), see (>= 0.6.4), ez,
ggResidpanel

Raster Georeferencing, Grid Affine Transforms, Cell Abstraction
person("Michael D.", "Sumner", email = "mdsumner@gmail.com", role = c("aut", "cre"))
Tools for raster georeferencing, grid affine transforms, and general raster logic.
These functions provide converters between raster specifications, world vector, geotransform,
'RasterIO' window, and 'RasterIO window' in 'sf' package list format. There are functions to offset
a matrix by padding any of four corners (useful for vectorizing neighbourhood operations), and
helper functions to harvesting user clicks on a graphics device to use for simple georeferencing
of images.  Methods used are available from <https://en.wikipedia.org/wiki/World_file> and
<https://gdal.org/user/raster_data_model.html>.