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r-cran-surveillance_1.19.0-2_mips64el.deb


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توضیحات

GNU R package for the Modeling and Monitoring of Epidemic Phenomena
ویژگی مقدار
سیستم عامل Linux
توزیع Debian Bullseye-11
مخزن Debian main mips64el
نام بسته r-cran-surveillance
نام فایل بسته r-cran-surveillance_1.19.0-2_mips64el.deb
نسخه بسته 1.19.0
انتشار بسته 2
معماری بسته mips64el
نگهدارنده Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
تاریخ ساخت -
هاست سازنده -
نوع بسته .deb
آدرس صفحه اصلی https://cran.r-project.org/package=surveillance
مجوز -
حجم دانلود 5787008
حجم نصب 6901
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>.


جایگزین ها

بسته نسخه معماری مخزن
r-cran-surveillance_1.19.0-2_amd64.deb 1.19.0 amd64 Debian main
r-cran-surveillance_1.19.0-2_arm64.deb 1.19.0 arm64 Debian main
r-cran-surveillance_1.19.0-2_armel.deb 1.19.0 armel Debian main
r-cran-surveillance_1.19.0-2_armhf.deb 1.19.0 armhf Debian main
r-cran-surveillance_1.19.0-2_i386.deb 1.19.0 i386 Debian main
r-cran-surveillance_1.19.0-2_mipsel.deb 1.19.0 mipsel Debian main
r-cran-surveillance_1.19.0-2_ppc64el.deb 1.19.0 ppc64el Debian main
r-cran-surveillance_1.19.0-2_s390x.deb 1.19.0 s390x Debian main


نیازمندی

مقدار نام
>= 4.0.3-1 r-base-core
- r-api-4.0
>= 1.0-15 r-cran-sp
>= 1.7-0 r-cran-xtable
>= 0.11.1 r-cran-rcpp
>= 0.8.0 r-cran-polycub
- r-cran-mass
- r-cran-matrix
- r-cran-nlme
- r-cran-spatstat.geom
>= 2.29 libc6
>= 3.0 libgcc-s1
>= 5.2 libstdc++6


نحوه نصب


نصب پکیج deb r-cran-surveillance:

    sudo apt-get install r-cran-surveillance_1.19.0-2_mips64el.deb


فایل ها

مسیرها
./usr/lib/R/site-library/surveillance/CITATION
./usr/lib/R/site-library/surveillance/DESCRIPTION
./usr/lib/R/site-library/surveillance/INDEX
./usr/lib/R/site-library/surveillance/Meta/Rd.rds
./usr/lib/R/site-library/surveillance/Meta/data.rds
./usr/lib/R/site-library/surveillance/Meta/demo.rds
./usr/lib/R/site-library/surveillance/Meta/features.rds
./usr/lib/R/site-library/surveillance/Meta/hsearch.rds
./usr/lib/R/site-library/surveillance/Meta/links.rds
./usr/lib/R/site-library/surveillance/Meta/nsInfo.rds
./usr/lib/R/site-library/surveillance/Meta/package.rds
./usr/lib/R/site-library/surveillance/Meta/vignette.rds
./usr/lib/R/site-library/surveillance/NAMESPACE
./usr/lib/R/site-library/surveillance/NEWS.Rd
./usr/lib/R/site-library/surveillance/R/surveillance
./usr/lib/R/site-library/surveillance/R/surveillance.rdb
./usr/lib/R/site-library/surveillance/R/surveillance.rdx
./usr/lib/R/site-library/surveillance/R/sysdata.rdb
./usr/lib/R/site-library/surveillance/R/sysdata.rdx
./usr/lib/R/site-library/surveillance/THANKS
./usr/lib/R/site-library/surveillance/data/MMRcoverageDE.RData
./usr/lib/R/site-library/surveillance/data/abattoir.RData
./usr/lib/R/site-library/surveillance/data/campyDE.RData
./usr/lib/R/site-library/surveillance/data/deleval.RData
./usr/lib/R/site-library/surveillance/data/fluBYBW.RData
./usr/lib/R/site-library/surveillance/data/fooepidata.RData
./usr/lib/R/site-library/surveillance/data/h1_nrwrp.RData
./usr/lib/R/site-library/surveillance/data/ha.RData
./usr/lib/R/site-library/surveillance/data/ha.sts.RData
./usr/lib/R/site-library/surveillance/data/hagelloch.RData
./usr/lib/R/site-library/surveillance/data/hepatitisA.RData
./usr/lib/R/site-library/surveillance/data/husO104Hosp.RData
./usr/lib/R/site-library/surveillance/data/imdepi.RData
./usr/lib/R/site-library/surveillance/data/imdepifit.RData
./usr/lib/R/site-library/surveillance/data/influMen.RData
./usr/lib/R/site-library/surveillance/data/k1.RData
./usr/lib/R/site-library/surveillance/data/m1.RData
./usr/lib/R/site-library/surveillance/data/m2.RData
./usr/lib/R/site-library/surveillance/data/m3.RData
./usr/lib/R/site-library/surveillance/data/m4.RData
./usr/lib/R/site-library/surveillance/data/m5.RData
./usr/lib/R/site-library/surveillance/data/measles.weser.RData
./usr/lib/R/site-library/surveillance/data/measlesDE.RData
./usr/lib/R/site-library/surveillance/data/measlesWeserEms.RData
./usr/lib/R/site-library/surveillance/data/meningo.age.RData
./usr/lib/R/site-library/surveillance/data/momo.RData
./usr/lib/R/site-library/surveillance/data/n1.RData
./usr/lib/R/site-library/surveillance/data/n2.RData
./usr/lib/R/site-library/surveillance/data/q1_nrwh.RData
./usr/lib/R/site-library/surveillance/data/q2.RData
... and 81 more