Package: bayesWatch
Type: Package
Title: Bayesian Change-Point Detection for Process Monitoring with
        Fault Detection
Version: 0.1.2
Date: 2023-10-29
Authors@R: c(person("Alexander C.", "Murph", email = "murph290@gmail.com",
                  role = c("aut", "cre"),
                  comment = c(ORCID = "0000-0001-7170-867X")),
	   person("Reza", "Mohammadi",
                  role = c("ctb", "cph"),
                  comment = c(ORCID = "0000-0001-9538-0648")),
	   person("Alex", "Lenkoski",
                  role = c("ctb", "cph"),
                  comment = c(ORCID = "0000-0002-6664-0292")))
Maintainer: Alexander C. Murph <murph290@gmail.com>
Description: Bayes Watch fits an array of Gaussian Graphical Mixture Models to groupings of homogeneous data in time, called regimes, which are modeled as the observed states of a Markov process with unknown transition probabilities.  In doing so, Bayes Watch defines a posterior distribution on a vector of regime assignments, which gives meaningful expressions on the probability of every possible change-point.  Bayes Watch also allows for an effective and efficient fault detection system that assesses what features in the data where the most responsible for a given change-point.  For further details, see: Alexander C. Murph et al. (2023) <arXiv:2310.02940>.
Copyright: file COPYRIGHTS
License: GPL-3
Imports: Rcpp (>= 1.0.7), parallel (>= 3.6.2), Matrix, Hotelling,
        CholWishart, ggplot2, gridExtra (>= 0.9.1), BDgraph, methods,
        MASS, stats, ess
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, Matrix, CholWishart
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2023-11-20 18:36:07 UTC; murph
Author: Alexander C. Murph [aut, cre] (<https://orcid.org/0000-0001-7170-867X>),
  Reza Mohammadi [ctb, cph] (<https://orcid.org/0000-0001-9538-0648>),
  Alex Lenkoski [ctb, cph] (<https://orcid.org/0000-0002-6664-0292>)
Repository: CRAN
Date/Publication: 2023-11-20 19:10:02 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2023-12-21 22:03:34 UTC; unix
Archs: bayesWatch.so.dSYM
