normal: Constructor function for Normal priors
In bayesGAM: Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo
normal R Documentation
Constructor function for Normal priors
Description
Used to specify Normal priors for bayesGAM models
Usage
normal(param_values)
Arguments
param_values
Numeric vector of length 2 for the mean and standard deviation parameters
Details
For the beta and a parameters, the distribution is assumed to be unconstrained.
For eps and lambda, the priors are half-normal with a support of strictly positive numbers.
References
Stan Development Team. 2018. Stan Modeling Language Users Guide and Reference Manual, Version 2.18.0
Examples
require(stats); require(graphics)
normal(c(0, 10))
bayesGAM documentation built on March 18, 2022, 6:29 p.m.
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| normal | R Documentation |
Constructor function for Normal priors
Description
Used to specify Normal priors for bayesGAM models
Usage
normal(param_values)
Arguments
param_values |
Numeric vector of length 2 for the mean and standard deviation parameters |
Details
For the beta and a parameters, the distribution is assumed to be unconstrained.
For eps and lambda, the priors are half-normal with a support of strictly positive numbers.
References
Stan Development Team. 2018. Stan Modeling Language Users Guide and Reference Manual, Version 2.18.0
Examples
require(stats); require(graphics) normal(c(0, 10))
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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