VBel-package | R Documentation |
Computes the Gaussian variational approximation of the Bayesian empirical likelihood posterior. This is an implementation of the function found in Yu, W., & Bondell, H. D. (2023) <doi:10.1080/01621459.2023.2169701>.
The DESCRIPTION file:
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Wei-Chang Yu [aut] (<https://orcid.org/0000-0002-0399-3779>), Jeremy Lim [cre, aut]
Maintainer: Jeremy Lim <jeremy.lim@unimelb.edu.au>
https://www.tandfonline.com/doi/abs/10.1080/01621459.2023.2169701
compute_AEL()
for choice of R and/or C++ computation of AEL
compute_GVA()
for choice of R and/or C++ computation of GVA
diagnostic_plot()
for verifying convergence of computed GVA data
#ansGVARcppPure <- compute_GVA(mu, C_0, h, delthh, delth_logpi, z, lam0, rho,
#elip, a, iters, iters2, fullCpp = TRUE)
#diagnostic_plot(ansGVARcppPure)
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