parDA_loglik: Compute the loglikelihood function for parallel computing
In pulongma/DABayes: Bayesian Statistical Model for Climate-Change Detection and Attribution
Description
Usage
Arguments
Value
Author(s)
See Also
Description
This function evaluates the likelihood function for the Bayesian
statistical model, and it is used in parallel computing of the MCMC algorithm.
Usage
1
parDA_loglik(outW, theta, N, Lj)
Arguments
outW
a 7 by 1 list containing precomputed quantities from
function parcomputeW(...)
theta
a list of 3 elements containing parameters in the MCMC algorithm
N
an integer representing the number of ensemble members
Lj
an m by 1 vector containing the number of runs for each forcing scenario
Value
a real number
Author(s)
Pulong Ma <mpulong@gmail.com>
See Also
update_loglik
pulongma/DABayes documentation built on June 24, 2019, 12:38 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
This function evaluates the likelihood function for the Bayesian statistical model, and it is used in parallel computing of the MCMC algorithm.
Usage
1 | parDA_loglik(outW, theta, N, Lj)
|
Arguments
outW |
a 7 by 1 list containing precomputed quantities from function parcomputeW(...) |
theta |
a list of 3 elements containing parameters in the MCMC algorithm |
N |
an integer representing the number of ensemble members |
Lj |
an m by 1 vector containing the number of runs for each forcing scenario |
Value
a real number
Author(s)
Pulong Ma <mpulong@gmail.com>
See Also
update_loglik
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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