Package: EpiAwareR 0.2.0

Sebastian Funk

EpiAwareR: R Interface to the 'EpiAware' Infectious Disease Modelling Framework

Provides an R interface to the 'Julia'-based 'EpiAware' compositional infectious disease modelling framework. Enables users to build flexible epidemiological models by composing reusable components for latent processes, infection dynamics, and observation models without requiring 'Julia' expertise.

Authors:Sebastian Funk [aut, cre, cph]

EpiAwareR_0.2.0.tar.gz
EpiAwareR_0.2.0.zip(r-4.7)EpiAwareR_0.2.0.zip(r-4.6)EpiAwareR_0.2.0.zip(r-4.5)
EpiAwareR_0.2.0.tgz(r-4.6-any)EpiAwareR_0.2.0.tgz(r-4.5-any)
EpiAwareR_0.2.0.tar.gz(r-4.7-any)EpiAwareR_0.2.0.tar.gz(r-4.6-any)
EpiAwareR_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
EpiAwareR/json (API)

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

Bug tracker:https://github.com/sbfnk/epiawarer/issues

On CRAN:

Conda:

3.65 score 6 stars 7 scripts 16 exports 39 dependencies

Last updated from:42a4c07ec7 (on v0.2.0). Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING165
source / vignettesERROR320
linux-release-x86_64WARNING167
macos-release-arm64WARNING89
macos-oldrel-arm64WARNING84
windows-develWARNING332
windows-releaseWARNING450
windows-oldrelWARNING440
wasm-releaseOK141

Exports:ARepiaware_availableepiaware_callepiaware_setup_juliaEpiProblemexponentialfitgamma_disthalfnormLatentDelaylognormNegativeBinomialErrornormnuts_samplerRenewaltruncnorm

Dependencies:abindbackportscheckmateclicpp11distributionalevaluatefarvergenericsggplot2gluegtablehighrisobandJuliaCallknitrlabelinglifecyclemagrittrmatrixStatsnumDerivpillarpkgconfigposteriorR6RColorBrewerRcpprjsonrlangS7scalestensorAtibbleutf8vctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Autoregressive Process for Latent DynamicsAR
Convert epiaware_fit to draws_arrayas_draws_array.epiaware_fit
Convert epiaware_fit to draws_dfas_draws_df.epiaware_fit
Convert epiaware_fit to draws_listas_draws_list.epiaware_fit
Convert epiaware_fit to draws_matrixas_draws_matrix.epiaware_fit
Convert epiaware_fit to draws_rvarsas_draws_rvars.epiaware_fit
Check if Julia and EpiAware are availableepiaware_available
Generic wrapper for calling Julia EpiAware functionsepiaware_call
Setup Julia and EpiAwareepiaware_setup_julia
Compose a Complete Epidemiological ModelEpiProblem
Exponential distributionexponential
Fit an EpiAware Model to Datafit
Gamma distributiongamma_dist
Half-normal distributionhalfnorm
Latent Delay Observation ModelLatentDelay
Log-normal distributionlognorm
Negative Binomial Observation Error ModelNegativeBinomialError
Normal distributionnorm
Configure NUTS Samplernuts_sampler
Plot Method for Fitted EpiAware Modelsplot.epiaware_fit
Print method for AR latent modelsprint.epiaware_ar
Print method for latent delay observation modelsprint.epiaware_delay
Print Method for Fitted EpiAware Modelsprint.epiaware_fit
Print method for generic EpiAware callsprint.epiaware_generic
Print method for negative binomial observation modelsprint.epiaware_negbin
Print method for NUTS sampler configurationprint.epiaware_nuts
Print method for EpiAware problemsprint.epiaware_problem
Print method for renewal infection modelsprint.epiaware_renewal
Renewal Process Infection ModelRenewal
Summary Method for Fitted EpiAware Modelssummary.epiaware_fit
Truncated normal distributiontruncnorm