spCP

Spatially Varying Change Points

Implements a spatially varying change point model with unique intercepts, slopes, variance intercepts and slopes, and change points at each location. Inference is within the Bayesian setting using Markov chain Monte Carlo (MCMC). The response variable can be modeled as Gaussian (no nugget), probit or Tobit link and the five spatially varying parameter are modeled jointly using a multivariate conditional autoregressive (MCAR) prior. The MCAR is a unique process that allows for a dissimilarity metric to dictate the local spatial dependencies. Full details of the package can be found in the accompanying vignette. Furthermore, the details of the package can be found in the corresponding paper on arXiv by Berchuck et al (2018): "A spatially varying change points model for monitoring glaucoma progression using visual field data", <arXiv:1811.11038>.

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Description file content

Package
spCP
Type
Package
Title
Spatially Varying Change Points
Version
1.2
Date
2018-12-04
Description
Implements a spatially varying change point model with unique intercepts, slopes, variance intercepts and slopes, and change points at each location. Inference is within the Bayesian setting using Markov chain Monte Carlo (MCMC). The response variable can be modeled as Gaussian (no nugget), probit or Tobit link and the five spatially varying parameter are modeled jointly using a multivariate conditional autoregressive (MCAR) prior. The MCAR is a unique process that allows for a dissimilarity metric to dictate the local spatial dependencies. Full details of the package can be found in the accompanying vignette. Furthermore, the details of the package can be found in the corresponding paper on arXiv by Berchuck et al (2018): "A spatially varying change points model for monitoring glaucoma progression using visual field data", .
License
GPL (>= 2)
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.0
NeedsCompilation
yes
Depends
R (>= 3.0.2)
Imports
graphics, grDevices, msm (>= 1.0.0), mvtnorm (>= 1.0-0), Rcpp (>= 0.12.9), stats, utils
Suggests
coda, classInt, knitr, rmarkdown, womblR (>= 1.0.3)
LinkingTo
Rcpp, RcppArmadillo (>= 0.7.500.0.0)
VignetteBuilder
knitr
Packaged
2018-12-04 19:48:16 UTC; sam
Author
Samuel I. Berchuck [aut, cre]
Maintainer
Samuel I. Berchuck
Repository
CRAN
Date/Publication
2018-12-05 07:40:03 UTC

install.packages('spCP')

1.2

4 days ago

Samuel I. Berchuck

GPL (>= 2)

Depends on

R (>= 3.0.2)

Imports

graphics, grDevices, msm (>= 1.0.0), mvtnorm (>= 1.0-0), Rcpp (>= 0.12.9), stats, utils

Suggests

coda, classInt, knitr, rmarkdown, womblR (>= 1.0.3)

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