deb_control_files:
- control
- md5sums
deb_fields:
Architecture: arm64
Depends: r-api-4.0, r-cran-sp (>= 2.1-4), r-cran-xtable (>= 1.7-0), r-cran-polycub
(>= 0.8.0), r-cran-mass, r-cran-matrix, r-cran-nlme, r-cran-spatstat.geom, libc6
(>= 2.35), libgcc-s1 (>= 3.0), libstdc++6 (>= 5)
Description: "GNU R package for the Modeling and Monitoring of Epidemic Phenomena\n\
\ Statistical methods for the modeling and monitoring of time series of\n counts,\
\ proportions and categorical data, as well as for the modeling of\n continuous-time\
\ point processes of epidemic phenomena.\n .\n The monitoring methods focus on\
\ aberration detection in count data time\n series from public health surveillance\
\ of communicable diseases, but\n applications could just as well originate from\
\ environmetrics,\n reliability engineering, econometrics, or social sciences.\
\ The package\n implements many typical outbreak detection procedures such as\
\ the\n (improved) Farrington algorithm, or the negative binomial GLR-CUSUM\n\
\ method of H\xF6hle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel\n\
\ CUSUM approach combining logistic and multinomial logistic modeling is\n also\
\ included. The package contains several real-world data sets, the\n ability to\
\ simulate outbreak data, and to visualize the results of the\n monitoring in\
\ a temporal, spatial or spatio-temporal fashion. A recent\n overview of the available\
\ monitoring procedures is given by Salmon et al.\n (2016) <doi:10.18637/jss.v070.i10>.\n\
\ .\n For the retrospective analysis of epidemic spread, the package provides\n\
\ three endemic-epidemic modeling frameworks with tools for visualization,\n likelihood\
\ inference, and simulation. hhh4() estimates models for\n (multivariate) count\
\ time series following Paul and Held (2011)\n <doi:10.1002/sim.4177> and Meyer\
\ and Held (2014)\n <doi:10.1214/14-AOAS743>. twinSIR() models the\n susceptible-infectious-recovered\
\ (SIR) event history of a fixed\n population, e.g, epidemics across farms or\
\ networks, as a multivariate\n point process as proposed by H\xF6hle (2009) <doi:10.1002/bimj.200900050>.\n\
\ twinstim() estimates self-exciting point process models for a\n spatio-temporal\
\ point pattern of infective events, e.g., time-stamped\n geo-referenced surveillance\
\ data, as proposed by Meyer et al. (2012)\n <doi:10.1111/j.1541-0420.2011.01684.x>.\
\ A recent overview of the\n implemented space-time modeling frameworks for epidemic\
\ phenomena is\n given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>."
Homepage: https://cran.r-project.org/package=surveillance
Installed-Size: '6518'
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Package: r-cran-surveillance
Priority: optional
Recommends: r-cran-gridextra (>= 2.0.0), r-cran-lattice (>= 0.20-44), r-cran-colorspace,
r-cran-scales, r-cran-animation, r-cran-msm, r-cran-spc, r-cran-coda, r-cran-spdep,
r-cran-numderiv, r-cran-maxlik, r-cran-gsl, r-cran-quadprog, r-cran-memoise, r-cran-polyclip,
r-cran-intervals, r-cran-sf, r-cran-tinytest (>= 1.2.4), r-cran-knitr
Section: gnu-r
Version: 1.24.0-1
srcpkg_name: r-cran-surveillance
srcpkg_version: 1.24.0-1