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Update CASE.R
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R/CASE.R

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#' @param hatS M * C matrix of standard errors of the estimated effects. Alternative summary data (together with hatB) to be provided instead of Z.
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#' @param N either C vector of the sample size, or C * C matrix of the sample size (diagonal) and ovelaps (off-diagonal). If provided with a vector, CASE assumes that each pair of traits overlaps with their minimal sample size.
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#' @param V (optional) C * C covariance (correlation) matrix for the noise between traits. If not provided, the default is an identity matrix representing no correlations of the error.
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#' @param cs logical, whether to get credible sets.
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#' @param cs (optional) logical, whether to get credible sets. Default = TRUE.
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#' @param verbose (optional) logical, whether to print logging information. Default = TRUE.
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#' @param ... additional arguments.
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#' @return A \code{"CASE"} object with the following elements:
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#' \item{pi:}{L-vector, the prior probabilities of sharing patterns.}

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