compare.2.vectors() conveniently compares two vectors using

approximation of degrees of freedom (LMM only), parametric
bootstrap (LMMs and GLMMs) or likelihood ratio tests (LRT).
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

bootstrap (LMMs and GLMMs) or likelihood ratio tests (LMMs and
GLMMs). afex uses type 3 sums of squares as default (imitating

statistical software) and sets the default contrasts to contr.sum.
Furthermore, compare.2.vectors() conveniently compares two vectors using a

statmod, performance (>= 0.7.2), see (>= 0.6.4), ez,

Title: Raster Georeferencing, Grid Affine Transforms, Cell Abstraction
Authors@R: person("Michael D.", "Sumner", email = "mdsumner@gmail.com", role = c("aut", "cre"))
Description: 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

Description: Tools to study sorting patterns in matching markets and to estimate the affinity matrix of both the bipartite one-to-one matching model without frictions and with Transferable Utility by 'Dupuy' and 'Galichon' (2014) <doi:10.1086/677191> and its 'unipartite' variant by 'Ciscato', 'Galichon' and 'Gousse' (2020) <doi:10.1086/704611>. It also contains all the necessary tools to implement the 'saliency' analysis, to run rank tests of the affinity matrix and to build tables and plots summarizing the findings.
Imports: stats, utils, grid, expm, MASS, Hmisc, ggplot2, ggrepel
Author: Edoardo Ciscato [aut, cre] (<https://orcid.org/0000-0002-9894-1778>)