beta_sampler: An R6 class for sampling slope parameters
In estimateW: Estimation of Spatial Weight Matrices
beta_sampler R Documentation
An R6 class for sampling slope parameters
Description
This class samples slope parameters with a Gaussian prior from the conditional posterior.
Use the beta_priors class for setup.
Format
An R6Class generator object
Public fields
beta_priorThe current beta_priors
curr_betaThe current value of β
Methods
Public methods
Method new()
Usage
beta_sampler$new(beta_prior)
Arguments
beta_priorThe list returned by beta_priors
Method sample()
Usage
beta_sampler$sample(Y, X, curr_sigma)
Arguments
YThe N by 1 matrix of responses
XThe N by k design matrix
curr_sigmaThe variance parameter σ^2
estimateW documentation built on Dec. 6, 2022, 5:11 p.m.
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| beta_sampler | R Documentation |
An R6 class for sampling slope parameters
Description
This class samples slope parameters with a Gaussian prior from the conditional posterior. Use the beta_priors class for setup.
Format
An R6Class generator object
Public fields
beta_priorThe current
beta_priorscurr_betaThe current value of β
Methods
Public methods
Method new()
Usage
beta_sampler$new(beta_prior)
Arguments
beta_priorThe list returned by
beta_priors
Method sample()
Usage
beta_sampler$sample(Y, X, curr_sigma)
Arguments
YThe N by 1 matrix of responses
XThe N by k design matrix
curr_sigmaThe variance parameter σ^2
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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