This package is considered a duplicate. The official version of this package is found at:https://waleedalmutiry.r-universe.dev/EpiILM

Package: EpiILM 1.5.2

Waleed Almutiry

EpiILM: Spatial and Network Based Individual Level Models for Epidemics

Provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).

Authors:Vineetha Warriyar. K. V., Waleed Almutiry, and Rob Deardon

EpiILM_1.5.2.tar.gz
EpiILM_1.5.2.zip(r-4.7-x86_64)EpiILM_1.5.2.zip(r-4.7-arm64)EpiILM_1.5.2.zip(r-4.6-x86_64)EpiILM_1.5.2.zip(r-4.6-arm64)EpiILM_1.5.2.zip(r-4.5-x86_64)
EpiILM_1.5.2.tgz(r-4.6-x86_64)EpiILM_1.5.2.tgz(r-4.6-arm64)EpiILM_1.5.2.tgz(r-4.5-x86_64)EpiILM_1.5.2.tgz(r-4.5-arm64)
EpiILM_1.5.2.tar.gz(r-4.7-arm64)EpiILM_1.5.2.tar.gz(r-4.7-x86_64)EpiILM_1.5.2.tar.gz(r-4.6-arm64)EpiILM_1.5.2.tar.gz(r-4.6-x86_64)
EpiILM_1.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EpiILM/json (API)

# Install 'EpiILM' in R:

install.packages('EpiILM', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/waleedalmutiry/epiilm/issues

Datasets:

tswv - Tomato Spotted Wilt Virus (TSWV) data

On CRAN:

4.48 score 6 stars 6 scripts 490 downloads 7 exports 8 dependencies

Last updated from:a22caac0e2. Checks:12 NOTE, 2 OK, 1 WARNING. Indexed: no.

Target	Result	Time
linux-devel-arm64	NOTE	131
linux-devel-x86_64	NOTE	130
source / vignettes	OK	239
linux-release-arm64	NOTE	128
linux-release-x86_64	NOTE	115
macos-release-arm64	NOTE	84
macos-release-x86_64	NOTE	320
macos-oldrel-arm64	NOTE	128
macos-oldrel-x86_64	NOTE	327
windows-devel-arm64	NOTE	223
windows-devel-x86_64	NOTE	144
windows-release-arm64	WARNING	197
windows-release-x86_64	NOTE	108
windows-oldrel-x86_64	NOTE	116
wasm-release	OK	79

Exports:as.epidata epiBR0 epidata epidic epilike epimcmc pred.epi

Dependencies:adaptMCMC coda LaplacesDemon lattice Matrix ramcmc Rcpp RcppArmadillo

Posterior Predictive Forecasting and Model Assessment

Posterior Predictive Forecasting | Model Selection

Rendered fromPredict.Rnwusingutils::Sweave

Last update: 2020-09-30
Started: 2020-02-23

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
'EpiILM': Spatial and Network Based Individual Level Models for Epidemics	EpiILM-package EpiILM
Discrete Time level information of an Epidemic	as.epidata
Basic reproduction number (R0)	epiBR0
Simulates epidemic for the specified model type and parameters	epidata
Deviance Information Criterion (DIC)	epidic
Calculates the log likelihood	epilike
Monte Carlo Simulation	epimcmc
S3 method to provide some graphics of epidemic.	plot.epidata
Plot the output of 'epimcmc' object	plot.epimcmc
S3 method to provide plots of posterior predictive check.	plot.pred.epi
Posterior predictive check.	pred.epi
Summary method for 'epimcmc' objects	summary.epimcmc
Tomato Spotted Wilt Virus (TSWV) data	tswv