log.fn.eval.lik: Full likelihood under Gaussian model
In jrlewi/brlm: Bayesian Restricted Likelihood Methods
Description
Usage
Arguments
Details
Value
View source: R/log_fn_eval_lik.R
Description
Full likelihood under Gaussian model
Usage
1
2
Arguments
ystst
a data vector such that T(ystst)=T(y_obs)
X
design matrix
Beta
regression coeff
sig
sigma, standard deviation of residuals
Details
designed for use within fn.one.rep.y
Value
the log likelihood
jrlewi/brlm documentation built on March 17, 2021, 1:10 a.m.
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Description Usage Arguments Details Value
View source: R/log_fn_eval_lik.R
Description
Full likelihood under Gaussian model
Usage
1 2 |
Arguments
ystst |
a data vector such that T(ystst)=T(y_obs) |
X |
design matrix |
Beta |
regression coeff |
sig |
sigma, standard deviation of residuals |
Details
designed for use within fn.one.rep.y
Value
the log likelihood
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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