person("H.G.", "van den Boorn", email = "hvdboorn@gmail.com", role = c("aut", "cre"))
A handy collection of utility functions designed to aid in package development, plotting and scientific research.
Package development functionalities includes among others tools such as cross-referencing package imports with the description file,
analysis of redundant package imports, editing of the description file and the creation of package badges for GitHub.
Some of the other functionalities include automatic package installation and loading, plotting points without overlap,
creating nice breaks for plots, overview tables and many more handy utility functions.
crayon, grDevices, limSolve, magrittr, stringr, utils, XML

crayon, grDevices, limSolve, magrittr, stringr, utils

crayon, dplyr, grDevices, limSolve, magrittr, stats, stringr,
utils

Hierarchical and Geographically Weighted Regression
This model divides coefficients into three types,
i.e., local fixed effects, global fixed effects, and random effects.
If data have spatial hierarchical structures (especially are overlapping on some locations),
it is worth trying this model to reach better fitness.

This model divides coefficients into three types,
i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022)<doi:10.1177/23998083211063885>.
If data have spatial hierarchical structures (especially are overlapping on some locations),
it is worth trying this model to reach better fitness.

Yigong Hu, Richard Harris, Richard Timmerman

HHCART(G) - A Reflected Feature Space for CART
An implementation of the HHCART-G algorithm as described in the
paper - Wickramarachchi C, Robertson B, Reale M, Price C, Brown J (2019). 'A
reflected feature space for CART.' Australian & New Zealand Journal of Statistics,
61, 380–391. <doi:10.1111/anzs.12275>.
checkmate, hash, Matrix, DiagrammeR, ggplot2, DiagrammeRsvg,
captioner, rsvg, bookdown,

c(person("Sebastian", "Meyer",
email = "seb.meyer@fau.de",
role = c("aut","cre")),
person("Leonhard", "Held",
email = "Leonhard.Held@uzh.ch",
role = c("ctb","ths")))
Age-Structured Spatio-Temporal Models for Infectious Disease
Counts
Meyer and Held (2017) <doi:10.1093/biostatistics/kxw051> present an
age-structured spatio-temporal model for infectious disease counts. The
approach is illustrated in a case study on norovirus gastroenteritis in
Berlin, 2011-2015, by age group, city district and week, using additional
contact data from the POLYMOD survey. This package contains the data and
code to reproduce the results from the paper, see 'demo("hhh4contacts")'.
R (>= 3.2.0), grDevices, graphics, methods, stats, utils,
surveillance (>= 1.14.0)
MASS, lattice, gridExtra, scales, numDeriv
Sebastian Meyer [aut, cre],
Leonhard Held [ctb, ths]