Package: SEIRfansy 1.1.1

Michael Kleinsasser

SEIRfansy: Extended Susceptible-Exposed-Infected-Recovery Model

Extended Susceptible-Exposed-Infected-Recovery Model for handling high false negative rate and symptom based administration of diagnostic tests. <doi:10.1101/2020.09.24.20200238>.

Authors:Ritwik Bhaduri [aut], Ritoban Kundu [aut], Soumik Purkayastha [aut], Lauren Beesley [aut], Bhramar Mukherjee [aut], Michael Kleinsasser [cre]

SEIRfansy_1.1.1.tar.gz
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SEIRfansy.pdf |SEIRfansy.html✨
SEIRfansy/json (API)

# Install 'SEIRfansy' in R:
install.packages('SEIRfansy', repos = c('https://umich-biostatistics.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/umich-biostatistics/seirfansy/issues

Datasets:
  • covid19 - COVID-19 Cases Time Series in India

On CRAN:

3.00 score 2 stars 3 scripts 199 downloads 2 exports 111 dependencies

Last updated 3 years agofrom:97f08b2855. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winNOTENov 11 2024
R-4.5-linuxNOTENov 11 2024
R-4.4-winNOTENov 11 2024
R-4.4-macNOTENov 11 2024
R-4.3-winNOTENov 11 2024
R-4.3-macNOTENov 11 2024

Exports:SEIRfansySEIRfansy.predict

Dependencies:abindarmaskpassbackportsbitbit64bootbroomcarcarDatacellrangerclassclicliprcodacolorspacecorrplotcowplotcpp11crayoncurldata.tableDerivDescToolsdoBydplyre1071evaluateExactexpmfansifarverforcatsFormulagenericsggplot2ggpubrggrepelggsciggsignifgldgluegridExtragtablehavenhighrhmshttrisobandjsonliteknitrlabelinglatticelifecyclelme4lmommagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkmimeminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivopensslpatchworkpbapplypbkrtestpillarpkgconfigpolynomprettyunitsprogressproxypurrrquantregR6RColorBrewerRcppRcppEigenreadrreadxlrematchrlangrootSolverstatixrstudioapiscalesSparseMstringistringrsurvivalsystibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxfunyaml