generateSamples: Generate samples from the posterior distribution.
In samperochkin/ccTraffic:
View source: R/analysis_functions.R
generateSamples R Documentation
Generate samples from the posterior distribution.
Description
Generate samples from the posterior distribution.
Usage
generateSamples(fit, M = 10000)
Arguments
fit
A fitted case-crossover model (obtained via 'fitModel(model)').
M
Number of replicates to draw for the posterior (to approximate it, the more the better).
Value
A list of length three with data.frames containing samples from the posterior
distribution of beta, z and theta, respectively.
samperochkin/ccTraffic documentation built on April 26, 2022, 4:57 p.m.
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View source: R/analysis_functions.R
| generateSamples | R Documentation |
Generate samples from the posterior distribution.
Description
Generate samples from the posterior distribution.
Usage
generateSamples(fit, M = 10000)
Arguments
fit |
A fitted case-crossover model (obtained via 'fitModel(model)'). |
M |
Number of replicates to draw for the posterior (to approximate it, the more the better). |
Value
A list of length three with data.frames containing samples from the posterior distribution of beta, z and theta, respectively.
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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