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

Package: linelistBayes 1.0

Chad Milando

linelistBayes: Bayesian Analysis of Epidemic Data Using Line List and Case Count Approaches

Provides tools for performing Bayesian inference on epidemiological data to estimate the time-varying reproductive number and other related metrics. These methods were published in Li and White (2021) <doi:10.1371/journal.pcbi.1009210>. This package supports analyses based on aggregated case count data and individual line list data, facilitating enhanced surveillance and intervention planning for infectious diseases like COVID-19.

Authors:Chad Milando [aut, cre], Tenglong Li [ctb], Laura White [ctb]

# Install 'linelistBayes' in R:

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

Bug tracker:https://github.com/cmilando/linelistbayes/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

out_list_demo - Sample datasets
sample_cases - Sample datasets
sample_dates - Sample datasets
sample_location - Sample datasets
sample_onset_dates - Sample datasets
sample_report_dates - Sample datasets

On CRAN:

openblas cpp

4.30 score 4 stars 3 scripts 378 downloads 18 exports 22 dependencies

Last updated from:85ac016db4. Checks:15 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	187
linux-devel-x86_64	OK	238
source / vignettes	OK	256
linux-release-arm64	OK	140
linux-release-x86_64	OK	195
macos-release-arm64	OK	142
macos-release-x86_64	OK	370
macos-oldrel-arm64	OK	110
macos-oldrel-x86_64	OK	244
windows-devel-arm64	OK	268
windows-devel-x86_64	OK	223
windows-release-arm64	OK	255
windows-release-x86_64	OK	190
windows-oldrel-x86_64	OK	174
wasm-release	OK	135

Exports:backnow_cm convert_to_linelist create_caseCounts create_linelist dnb dummy findmiss get_mu_vec getr lambda logLikNB plot.backnow plot.caseCounts pnb prop rnb run_backnow si

Dependencies:cli coda cpp11 dplyr generics glue lattice lifecycle lubridate magrittr pillar pkgconfig R6 Rcpp RcppArmadillo rlang tibble tidyselect timechange utf8 vctrs withr

linelistBayes: an introduction

Example: Case Count data | Example: lineList data | Additional functionality | Specifying the distribution for caseCounts_line

Rendered fromIntro.Rmdusingknitr::rmarkdown

Last update: 2024-05-02
Started: 2024-04-02

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Get Bayesian Back-calculation Estimates and Model Diagnostics	backnow_cm
Convert Case Counts to a Line List	convert_to_linelist
Create a Case Counts Data Frame	create_caseCounts
Create a Line List from Report and Onset Dates	create_linelist
Calculate Log-Probability Density for Negative Binomial Distribution	dnb
Generate Dummy Variables Matrix for Weeks and Weekends	dummy
Locate Missing Values in a Numeric Vector	findmiss
Calculate Exponential of Linear Combinations	get_mu_vec
Calculate Time-Varying Reproduction Number R(t)	getr
Calculate Lambda Values for Poisson Distribution Mean	lambda
Compute Log-Likelihood for a Right-Truncated Negative Binomial Model	logLikNB
Plot Estimates or Reproduction Numbers	plot.backnow
Plot Case Counts Over Time	plot.caseCounts
Compute Cumulative Distribution Function for Negative Binomial Distribution	pnb
Calculate Proportions of Event Counts Within a Specified Time Range	prop
Generate Random Samples from a Negative Binomial Distribution	rnb
Run Back Calculation and Estimate Reproduction Numbers	run_backnow
Sample datasets	out_list_demo sample_cases sample_dates sample_location sample_onset_dates sample_report_dates
Calculate Serial Interval Distribution for COVID-19	si