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

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

## Documentation for package ‘linelistBayes’ version 1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

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