Paketti: r-cran-surveillance (1.19.0-2)
Links for r-cran-surveillance
Debian-palvelut:
Imuroi lähdekoodipaketti r-cran-surveillance:
- [r-cran-surveillance_1.19.0-2.dsc]
- [r-cran-surveillance_1.19.0.orig.tar.gz]
- [r-cran-surveillance_1.19.0-2.debian.tar.xz]
Ylläpitäjät:
- Debian R Packages Maintainers (Laadunvalvontasivu)
- Andreas Tille (Laadunvalvontasivu)
- Sebastian Carneiro (Laadunvalvontasivu)
External Resources:
- Kotisivu [cran.r-project.org]
Samankaltaisia paketteja:
GNU R package for the Modeling and Monitoring of Epidemic Phenomena
Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena.
The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Höhle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>.
For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. hhh4() estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. twinSIR() models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by Höhle (2009) <doi:10.1002/bimj.200900050>. twinstim() estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.
Muut pakettiin r-cran-surveillance liittyvät paketit
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- dep: libc6 (>= 2.29)
- GNU-C-kirjasto: jaetut kirjastot
myös näennäispaketti, jonka toteuttaa libc6-udeb
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- dep: libgcc-s1 (>= 3.0)
- GCC:n apukirjasto
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- dep: libstdc++6 (>= 5.2)
- GNU standardi C++ -kirjasto, versio 3
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- dep: r-api-4.0
- näennäispaketti, jonka toteuttaa r-base-core
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- dep: r-base-core (>= 4.0.3-1)
- GNU R core of statistical computation and graphics system
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- dep: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- dep: r-cran-matrix
- GNU R package of classes for dense and sparse matrices
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- dep: r-cran-nlme
- GNU R package for (non-)linear mixed effects models
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- dep: r-cran-polycub (>= 0.8.0)
- GNU R Cubature over Polygonal Domains
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- dep: r-cran-rcpp (>= 0.11.1)
- GNU R package for Seamless R and C++ Integration
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- dep: r-cran-sp (>= 1.0-15)
- GNU R classes and methods for spatial data
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- dep: r-cran-spatstat.geom
- GNU R geometrical functionality of the 'spatstat' package
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- dep: r-cran-xtable (>= 1.7-0)
- GNU R coerce data to LaTeX and HTML tables
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- rec: r-cran-maxlik
- GNU R maximum likelihood estimation
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- rec: r-cran-memoise
- Memoise functions
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- rec: r-cran-numderiv
- GNU R package for accurate numerical derivatives
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- rec: r-cran-spdep
- GNU R spatial dependence: weighting schemes, statistics and models
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- rec: r-cran-tinytest (>= 1.2.4)
- Lightweight and Feature Complete Unit Testing Framework
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- sug: r-cran-animation
- GNU R gallery of animations and utilities to create animations
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- sug: r-cran-coda
- Output analysis and diagnostics for MCMC simulations in R
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- sug: r-cran-colorspace
- GNU R Color Space Manipulation
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- sug: r-cran-gridextra (>= 2.0.0)
- GNU R package with extensions for the grid package
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- sug: r-cran-gsl
- GNU R wrapper for the GNU Scientific Library
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- sug: r-cran-intervals
- GNU R tools for working with points and intervals
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- sug: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- sug: r-cran-lattice
- GNU R package for 'Trellis' graphics
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- sug: r-cran-maptools
- GNU R Tools for reading and handling spatial objects
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- sug: r-cran-msm
- GNU R Multi-state Markov and hidden Markov models in continuous time
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- sug: r-cran-polyclip
- GNU R Polygon Clipping
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- sug: r-cran-quadprog
- GNU R package for solving quadratic programming problems
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- sug: r-cran-scales
- Scale functions for visualization
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- sug: r-cran-spc
- GNU R Statistical Process Control
Imuroi r-cran-surveillance
Arkkitehtuuri | Paketin koko | Koko asennettuna | Tiedostot |
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ppc64el | 5,660.8 kt | 6,941.0 kt | [tiedostoluettelo] |