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Suggesting an option to combine multiple estimates of the same parameter set (shape and scale of gamma distribution fitted to incubation period for Ebola, for example, across 5 studies). Here's some basic code to start with:
Weighted combination of multivariate estimates and population covariance
User supplied weights may be some combination: (weight) = (effective sample size) X (quality weight) X (relevance weight)
Neglects sample size corrections and is based on definition
Includes option of weighting by inverse radius of covariance matrix
estimate set is a list of estimate-lists: list(est1 = list(mean, covariance, weight), ...)
Suggesting an option to combine multiple estimates of the same parameter set (shape and scale of gamma distribution fitted to incubation period for Ebola, for example, across 5 studies). Here's some basic code to start with:
Weighted combination of multivariate estimates and population covariance
User supplied weights may be some combination: (weight) = (effective sample size) X (quality weight) X (relevance weight)
Neglects sample size corrections and is based on definition
Includes option of weighting by inverse radius of covariance matrix
estimate set is a list of estimate-lists: list(est1 = list(mean, covariance, weight), ...)
Example: combining bivariate parameter estimates (shape and scale of gamma distributions mean=c(shape, scale), for example)
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