R(>= 2.15.2), Matrix, coda, mvtnorm, MCMCpack, spatstat,
parallel

c(person(given = "Maximilian",
family = "Hughes",
role = c("aut", "cre", "ctb"),
email = "hughesgm@me.com"))
Adaptive smoothing functions for estimating the blood
oxygenation level dependent (BOLD) effect by using functional Magnetic
Resonance Imaging (fMRI) data, based on adaptive Gauss Markov random
fields, for real as well as simulated data. The implemented models make
use of efficient Markov Chain Monte Carlo methods. Implemented methods
are based on the research developed by A. Brezger, L. Fahrmeir, A.
Hennerfeind (2007) <https://www.jstor.org/stable/4626770>.
methods, stats, spatstat, spatstat.geom, Matrix, coda,
mvtnorm, MCMCpack, parallel

Adaptive Smoothing Spline (AdaSS) Estimator for the
Function-on-Function Linear Regression
c(
person("Fabio", "Centofanti",
email = "fabio.centofanti@unina.it",
role = c("cre","aut")),
person("Antonio", "Lepore", role = c("aut")),
person("Alessandra", "Menafoglio", role = c("aut")),
person("Biagio", "Palumbo", role = c("aut")),
person("Simone", "Vantini", role = c("aut"))
)
Implements the adaptive smoothing spline estimator for the function-on-function linear regression model described in Centofanti et al. (2020) <arXiv:2011.12036>.
fda, parallel, matrixcalc, SparseM, mvtnorm, Rfast, plot3D
Fabio Centofanti [cre, aut],
Antonio Lepore [aut],
Alessandra Menafoglio [aut],
Biagio Palumbo [aut],
Simone Vantini [aut]

c(person(given = "Jiaxiang",
family = "Li",
role = c("aut", "cre"),
email = "alex.lijiaxiang@foxmail.com",
comment = c(ORCID = "https://orcid.org/0000-0003-3196-6492")),
person(given = "Nakagawara",
family = "Ryo",
role = c("aut"),
email = "ryonakagawara@gmail.com"))
Create 'ggplot2' themes and color palettes.
ggplot2, magrittr, RColorBrewer, magick, zeallot
Jiaxiang Li [aut, cre] (<https://orcid.org/0000-0003-3196-6492>),
Nakagawara Ryo [aut]

Adds Labeled Center Line and Scale Lines to Trellis Plots
Modifies trellis objects by adding horizontal and/or vertical reference lines
that provide visual scaling information. This is mostly useful in multi-panel plots
that use the relation = 'free' option in their 'scales' argument list.