WLVmix | R Documentation |
A Kiefer-Wolfowitz NPMLE procedure for estimation of a Gaussian model with independent mean and variance prior components with weighted longitudinal data. This version iterates back and forth from Gamma and Gaussian forms of the likelihood.
WLVmix(y, id, w, u = 300, v = 300, eps = 1e-04, maxit = 2, ...)
y |
A vector of observations |
id |
A strata indicator vector indicating grouping of y |
w |
A vector of weights corresponding to y |
u |
A vector of bin boundaries for the mean effects |
v |
A vector of bin boundaries for the variance effects |
eps |
Convergence tolerance for iterations |
maxit |
A limit on the number of allowed iterations |
... |
optional parameters to be passed to KWDual to control optimization |
A list consisting of the following components:
u |
midpoints of the mean bin boundaries |
fu |
the function values of the mixing density of the means |
v |
midpoints of the variance bin boundaries |
fv |
the function values of the mixing density of the variances. |
logLik |
vector of log likelihood values for each iteration |
du |
Bayes rule estimate of the mixing density means. |
dv |
Bayes rule estimate of the mixing density variances. |
status |
Mosek convergence status for each iteration |
J. Gu and R. Koenker
Gu, J. and R. Koenker (2015) Empirical Bayesball Remixed: Empirical Bayes Methods for Longitudinal Data, J. Applied Econometrics, 32, 575-599.
Koenker, R. and J. Gu, (2017) REBayes: An R Package for Empirical Bayes Mixture Methods, Journal of Statistical Software, 82, 1–26.
WGLVmix for a more general bivariate mixing distribution version and WTLVmix for an alternative estimator exploiting a Student/Gamma decomposition
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