An R package for estimation and sampling of Markov Random Fields
and Hidden Markov Random Fields defined on 2-dimensional lattices (images)
using different approaches and methods found in the literature.
Rcpp (>= 1.0.1), dplyr(>= 0.8.1), reshape2, methods, ggplot2,
Rdpack
testthat (>= 2.1.0), covr, knitr, rmarkdown, glue

Markov Random Field Models for Image Analysis
person("Victor", "Freguglia", email = "victorfreguglia@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-6189-4453"))
Model fitting, sampling and visualization
for the (Hidden) Markov Random Field model with pairwise interactions and
general interaction structure from
Freguglia, Garcia & Bicas (2019) <doi:10.1002/env.2613>,
which has many popular models used in 2-dimensional lattices
as particular cases, like the Ising Model and Potts Model.
Victor Freguglia [aut, cre] (<https://orcid.org/0000-0002-6189-4453>)

Model fitting, sampling and visualization
for the (Hidden) Markov Random Field model with pairwise interactions and
general interaction structure from
Freguglia, Garcia & Bicas (2020) <doi:10.1002/env.2613>,
which has many popular models used in 2-dimensional lattices
as particular cases, like the Ising Model and Potts Model.

Rcpp (>= 1.0.1), dplyr(>= 0.8.1), reshape2, tidyr, methods,
ggplot2, Rdpack

Rcpp (>= 1.0.1), dplyr(>= 0.8.1), tidyr, methods, ggplot2,
Rdpack

Model fitting, sampling and visualization
for the (Hidden) Markov Random Field model with pairwise interactions and
general interaction structure from
Freguglia, Garcia & Bicas (2020) <doi:10.1002/env.2613>,
which has many popular models used in 2-dimensional lattices
as particular cases, like the Ising Model and Potts Model.
A complete manuscript describing the package is available in
Freguglia & Garcia (2022) <doi:10.18637/jss.v101.i08>.

Depth Measures in Multivariate, Regression and Functional
Settings
c(
person(given="Pieter",family="Segaert", role = c("aut", "cre"),
email = "Pieter.Segaert@kuleuven.be"),
person(given="Mia",family="Hubert", role = c("aut")),
person(given="Peter",family="Rousseeuw", role = c("aut")),
person(given="Kaveh",family="Vakili", role = c("ctb"))
)
Tools to compute depth measures and implementations of related tasks such as outlier detection, data exploration and classification of multivariate, regression and functional data.
Pieter Segaert [aut, cre],
Mia Hubert [aut],
Peter Rousseeuw [aut],
Kaveh Vakili [ctb]