module_methods: Methods available for each module

In covid-19-Re/estimateR: Reproductive number estimation from delayed observations of infections

Methods available for each module

Description

Methods available for each module

Arguments

smoothing_method	string. Method used to smooth the original incidence data. Available options are: 'LOESS', implemented in .smooth_LOESS
deconvolution_method	string. Method used to infer timings of infection events from the original incidence data (aka deconvolution step). Available options are: 'Richardson-Lucy delay distribution', implemented in .deconvolve_incidence_Richardson_Lucy
estimation_method	string. Method used to estimate reproductive number values through time from the reconstructed infection timings. Available options are: 'EpiEstim sliding window', implemented in .estimate_Re_EpiEstim_sliding_window 'EpiEstim piecewise constant', implemented in .estimate_Re_EpiEstim_piecewise_constant
uncertainty_summary_method	string. One of the following options: 'NONE' if no summary of bootstrap estimates is required 'original estimate - CI from bootstrap estimates'. The confidence interval is built using bootstrapped estimates and centered around the original estimates. 'bagged mean - CI from bootstrap estimates'. The confidence interval is built using bootstrapped estimates and centered around the mean of bootstrapped estimates and original estimates.
bootstrapping_method	string. Method to perform bootstrapping of the original incidence data. Available options are: 'non-parametric block boostrap', implemented in .block_bootstrap

covid-19-Re/estimateR documentation built on Sept. 14, 2024, 5:49 a.m.