dprop_x: Log proposal density for the latent data
In rmorsomme/PDSIR: Data-augmentation Marko chain Monte Carlo for Fitting the Stochastic SIR Model to Incidence Counts
dprop_x R Documentation
Log proposal density for the latent data
Description
Log proposal density for the latent data
Usage
dprop_x(theta, Y, x, i_update, gener, b, iota_dist, approx)
Arguments
theta
current values of the parameters for the SIR
Y
observed data
x
current configuration of the latent data
i_update
index set of particles whose values are updated
gener
generalized
b
parameter of generalized
iota_dist
distribution of infection periods
approx
poisson approximation
Value
log density
rmorsomme/PDSIR documentation built on April 27, 2023, 2:56 p.m.
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| dprop_x | R Documentation |
Log proposal density for the latent data
Description
Log proposal density for the latent data
Usage
dprop_x(theta, Y, x, i_update, gener, b, iota_dist, approx)
Arguments
theta |
current values of the parameters for the SIR |
Y |
observed data |
x |
current configuration of the latent data |
i_update |
index set of particles whose values are updated |
gener |
generalized |
b |
parameter of generalized |
iota_dist |
distribution of infection periods |
approx |
poisson approximation |
Value
log density
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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