random.effects: Extracts the random effect estimates
In rts2: Real-Time Disease Surveillance
View source: R/print_mcmlrts.R
random.effects R Documentation
Extracts the random effect estimates
Description
Extracts the random effect estimates or samples from an rtsFit object returned from call of lgcp_ml() or lgcp_bayes() in the grid class.
Usage
random.effects(object)
Arguments
object
An mcml model fit.
Value
A matrix of dimension (number of fixed effects ) x (number of MCMC samples). For Laplace approximation, the number of "samples" equals one.
rts2 documentation built on April 3, 2025, 7:39 p.m.
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View source: R/print_mcmlrts.R
| random.effects | R Documentation |
Extracts the random effect estimates
Description
Extracts the random effect estimates or samples from an rtsFit object returned from call of lgcp_ml() or lgcp_bayes() in the grid class.
Usage
random.effects(object)
Arguments
object |
An |
Value
A matrix of dimension (number of fixed effects ) x (number of MCMC samples). For Laplace approximation, the number of "samples" equals one.
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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