suff_stat: Compute the sufficient statistics from the latent space
In rmorsomme/PDSIR: Data-augmentation Marko chain Monte Carlo for Fitting the Stochastic SIR Model to Incidence Counts
View source: R/sufficient-statistics.R
suff_stat R Documentation
Compute the sufficient statistics from the latent space
Description
These sufficient statistics are used to conduct inference on the parameters
Usage
suff_stat(x, Y, gener, b, return_SI = FALSE)
Arguments
x
current configuration of the latent data
Y
observed data
gener
generalized
b
parameter of generalized
return_SI
logical; whether to return the trajectories of S and I
Value
sufficient statistics
rmorsomme/PDSIR documentation built on April 27, 2023, 2:56 p.m.
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View source: R/sufficient-statistics.R
| suff_stat | R Documentation |
Compute the sufficient statistics from the latent space
Description
These sufficient statistics are used to conduct inference on the parameters
Usage
suff_stat(x, Y, gener, b, return_SI = FALSE)
Arguments
x |
current configuration of the latent data |
Y |
observed data |
gener |
generalized |
b |
parameter of generalized |
return_SI |
logical; whether to return the trajectories of S and I |
Value
sufficient statistics
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.
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