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Move gamma arg in docs for ccdr.run
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R/ccdrAlgorithm-main.R

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@@ -43,9 +43,6 @@ NULL
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#' has also been specified, this value will be ignored. Note also that the final
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#' solution path may contain fewer estimates (see
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#' \code{alpha}).
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#' @param gamma Value of concavity parameter. If \code{gamma > 0}, then the MCP will be used
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#' with \code{gamma} as the concavity parameter. If \code{gamma < 0}, then the L1 penalty
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#' will be used and this value is otherwise ignored.
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#' @param whitelist A two-column matrix of edges that are guaranteed to be in each
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#' estimate (a "white list"). Each row in this matrix corresponds
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#' to an edge that is to be whitelisted. These edges can be
@@ -54,6 +51,9 @@ NULL
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#' @param blacklist A two-column matrix of edges that are guaranteed to be absent
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#' from each estimate (a "black list"). See argument
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#' "\code{whitelist}" above for more details.
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#' @param gamma Value of concavity parameter. If \code{gamma > 0}, then the MCP will be used
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#' with \code{gamma} as the concavity parameter. If \code{gamma < 0}, then the L1 penalty
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#' will be used and this value is otherwise ignored.
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#' @param error.tol Error tolerance for the algorithm, used to test for convergence.
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#' @param max.iters Maximum number of iterations for each internal sweep.
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#' @param alpha Threshold parameter used to terminate the algorithm whenever the number of edges in the

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