Package index • EpiNow2

Estimation + Reporting

Functions that faciliate end-to-end analysis including imputing cases by infection, estimating Rt and reporting results.

epinow() stable: Real-time Rt Estimation, Forecasting and Reporting

epinow2_cmdstan_model(): Load and compile an EpiNow2 cmdstanr model

plot(<epinow>) maturing: Plot method for epinow

regional_epinow() maturing: Real-time Rt Estimation, Forecasting and Reporting by Region

summary(<epinow>) stable: Summary output from epinow

Estimate, Simulate, and Forecast Parameters

Function to estimate, simulate and forecast parameters of interest.

estimate_infections() maturing: Estimate Infections, the Time-Varying Reproduction Number and the Rate of Growth

forecast_infections() stable: Forecast infections from a given fit and trajectory of the time-varying reproduction number

estimate_secondary() stable: Estimate a Secondary Observation from a Primary Observation

forecast_secondary() experimental: Forecast Secondary Observations Given a Fit from estimate_secondary

estimate_delay() maturing: Estimate a Delay Distribution

estimate_truncation() stable: Estimate Truncation of Observed Data

Specify an Argument

Functions used by estimate_infections

backcalc_opts() stable: Back Calculation Options

delay_opts() stable: Delay Distribution Options

filter_opts() maturing: Filter Options for a Target Region

gt_opts() generation_time_opts() stable: Generation Time Distribution Options

gp_opts() stable: Approximate Gaussian Process Settings

obs_opts() stable: Observation Model Options

rstan_opts() deprecated: Rstan Options

rstan_sampling_opts() deprecated: Rstan Sampling Options

rstan_vb_opts() deprecated: Rstan Variational Bayes Options

rt_opts() stable: Time-Varying Reproduction Number Options

secondary_opts() stable: Secondary Reports Options

stan_laplace_opts() experimental: Stan Laplace algorithm Options

stan_opts() stable: Stan Options

stan_pathfinder_opts() experimental: Stan pathfinder algorithm Options

stan_sampling_opts() stable: Stan Sampling Options

stan_vb_opts() stable: Stan Variational Bayes Options

trunc_opts() stable: Truncation Distribution Options

opts_list() maturing: Return an _opts List per Region

Summarise Across Regions

Functions used for summarising across regions (designed for use with regional_epinow)

regional_summary() maturing: Regional Summary Output

regional_runtimes() maturing: Summarise Regional Runtimes

get_regional_results() stable: Get Combined Regional Results

Summarise results

Functions for summarising results

summary(<epinow>) stable: Summary output from epinow

summary(<estimate_infections>) stable: Summary output from estimate_infections

backcalc_opts() stable: Back Calculation Options

calc_CrI() stable: Calculate Credible Interval

calc_CrIs() stable: Calculate Credible Intervals

calc_summary_measures() stable: Calculate All Summary Measures

calc_summary_stats() stable: Calculate Summary Statistics

make_conf() stable: Format Credible Intervals

map_prob_change() stable: Categorise the Probability of Change for Rt

Plot Results

Plot generated results

plot(<dist_spec>) experimental: Plot PMF and CDF for a dist_spec object

plot(<epinow>) maturing: Plot method for epinow

plot(<estimate_infections>) maturing: Plot method for estimate_infections

plot(<estimate_secondary>) experimental: Plot method for estimate_secondary

plot(<estimate_truncation>) experimental: Plot method for estimate_truncation

plot_CrIs() stable: Plot EpiNow2 Credible Intervals

plot_estimates() questioning: Plot Estimates

plot_summary() questioning: Plot a Summary of the Latest Results

report_plots() questioning: Report plots

Report results

Functions to report results

report_plots() questioning: Report plots

report_summary() questioning: Provide Summary Statistics for Estimated Infections and Rt

Define, Fit and Parameterise Distributions

Functions to define, fit and parameterise distributions

LogNormal() Gamma() Normal() Fixed() NonParametric(): Probability distributions

apply_tolerance() experimental: Applies a threshold to all nonparametric distributions in a <dist_spec>

collapse() experimental: Collapse nonparametric distributions in a <dist_spec>

discretise() discretize() experimental: Discretise a <dist_spec>

bootstrapped_dist_fit() stable: Fit a Subsampled Bootstrap to Integer Values and Summarise Distribution Parameters

fix_dist() experimental: Fix the parameters of a <dist_spec>

get_distribution() experimental: Get the distribution of a <dist_spec>

new_dist_spec() experimental: Internal function for generating a dist_spec given parameters and a distribution.

c(<dist_spec>) experimental: Combines multiple delay distributions for further processing

dist_fit() stable: Fit an Integer Adjusted Exponential, Gamma or Lognormal distributions

dist_skel() deprecated: Distribution Skeleton

max(<dist_spec>) experimental: Returns the maximum of one or more delay distribution

mean(<dist_spec>) experimental: Returns the mean of one or more delay distribution

plot(<dist_spec>) experimental: Plot PMF and CDF for a dist_spec object

`+`(<dist_spec>) experimental: Creates a delay distribution as the sum of two other delay distributions.

print(<dist_spec>) experimental: Prints the parameters of one or more delay distributions

get_parameters() experimental: Get parameters of a parametric distribution

get_pmf() experimental: Get the probability mass function of a nonparametric distribution

Simulate

Functions to help with simulating data or mapping to reported cases

simulate_infections(): Simulate infections using the renewal equation

simulate_secondary(): Simulate secondary observations from primary observations

convolve_and_scale(): Convolve and scale a time series

Data

Package datasets that may be used to parameterise other functions or in examples

example_generation_time stable: Example generation time

example_incubation_period stable: Example incubation period

example_reporting_delay stable: Example reporting delay

example_confirmed stable: Example Confirmed Case Data Set

example_truncated stable: Example Case Data Set with Truncation

generation_times deprecated: Literature Estimates of Generation Times

incubation_periods deprecated: Literature Estimates of Incubation Periods

Get/Extract Data

Functions for extracting data from objects or getting data from sources

get_distribution() experimental: Get the distribution of a <dist_spec>

get_parameters() experimental: Get parameters of a parametric distribution

get_pmf() experimental: Get the probability mass function of a nonparametric distribution

get_regional_results() stable: Get Combined Regional Results

extract_CrIs() stable: Extract Credible Intervals Present

extract_inits() experimental: Generate initial conditions from a Stan fit

extract_samples(): Extract all samples from a stan fit

extract_stan_param() stable: Extract a Parameter Summary from a Stan Object

Clean Data

Functions for cleaning data

clean_nowcasts() stable: Clean Nowcasts for a Supplied Date

clean_regions() stable: Clean Regions

Setup Utilities

Function used for setting up functionality

setup_default_logging() questioning: Setup Default Logging

setup_future() stable: Set up Future Backend

setup_logging() questioning: Setup Logging

Utilities

Utility functions

run_region() maturing: Run epinow with Regional Processing Code

expose_stan_fns() stable: Expose internal package stan functions in R

convert_to_logmean() stable: Convert mean and sd to log mean for a log normal distribution

convert_to_logsd() stable: Convert mean and sd to log standard deviation for a log normal distribution

growth_to_R() questioning: Convert Growth Rates to Reproduction numbers.

R_to_growth() questioning: Convert Reproduction Numbers to Growth Rates

update_secondary_args() stable: Update estimate_secondary default priors