PDSIR: PDSIR: A package for fitting the stochastic SIR process with...
In rmorsomme/PDSIR: Data-augmentation Marko chain Monte Carlo for Fitting the Stochastic SIR Model to Incidence Counts
PDSIR R Documentation
PDSIR: A package for fitting the stochastic SIR process with incidence data
with a data-augmentation MCMC algorithm that uses the piece-wise decoupled SIR process
to proposes the latent data.
Description
The PDSIR package provides all the functions necessary to run the DA-MCMC algorithm
and analyze the output.
PD-SIR
The function rprop_x generates a process from the PD-SIR which by construction is compatible with the observed incidence data.
DA-MCMC
The function run_DAMCMC runs the DA-MCMC algorithm.
rmorsomme/PDSIR documentation built on April 27, 2023, 2:56 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| PDSIR | R Documentation |
PDSIR: A package for fitting the stochastic SIR process with incidence data with a data-augmentation MCMC algorithm that uses the piece-wise decoupled SIR process to proposes the latent data.
Description
The PDSIR package provides all the functions necessary to run the DA-MCMC algorithm and analyze the output.
PD-SIR
The function rprop_x generates a process from the PD-SIR which by construction is compatible with the observed incidence data.
DA-MCMC
The function run_DAMCMC runs the DA-MCMC algorithm.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.