gaussian.loglik: Log likelihood function for gaussian regression with a...
In FBMS: Flexible Bayesian Model Selection and Model Averaging
gaussian.loglik R Documentation
Log likelihood function for gaussian regression with a Jeffreys prior and BIC approximation of MLIK with both known and unknown variance of the responses
Description
Log likelihood function for gaussian regression with a Jeffreys prior and BIC approximation of MLIK with both known and unknown variance of the responses
Usage
gaussian.loglik(y, x, model, complex, mlpost_params)
Arguments
y
A vector containing the dependent variable
x
The matrix containing the precalculated features
model
The model to estimate as a logical vector
complex
A list of complexity measures for the features
mlpost_params
A list of parameters for the log likelihood, supplied by the user
Value
A list with the log marginal likelihood combined with the log prior (crit) and the posterior mode of the coefficients (coefs).
Examples
gaussian.loglik(rnorm(100), matrix(rnorm(100)), TRUE, list(oc = 1), NULL)
FBMS documentation built on Sept. 13, 2025, 1:09 a.m.
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| gaussian.loglik | R Documentation |
Log likelihood function for gaussian regression with a Jeffreys prior and BIC approximation of MLIK with both known and unknown variance of the responses
Description
Log likelihood function for gaussian regression with a Jeffreys prior and BIC approximation of MLIK with both known and unknown variance of the responses
Usage
gaussian.loglik(y, x, model, complex, mlpost_params)
Arguments
y |
A vector containing the dependent variable |
x |
The matrix containing the precalculated features |
model |
The model to estimate as a logical vector |
complex |
A list of complexity measures for the features |
mlpost_params |
A list of parameters for the log likelihood, supplied by the user |
Value
A list with the log marginal likelihood combined with the log prior (crit) and the posterior mode of the coefficients (coefs).
Examples
gaussian.loglik(rnorm(100), matrix(rnorm(100)), TRUE, list(oc = 1), NULL)
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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