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    37 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                              ^
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    37 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                          ^
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    37 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                      ^
checkRd: (-1) AMFA.Rd:37: Lost braces; missing escapes or markup?
    37 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                                                                                                                                                                       ^
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    37 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                                                                                                                                                                                   ^
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    37 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                                                                                                                                                                                            ^
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    30 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                              ^
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    30 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                          ^
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    30 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                      ^
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    30 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                                                                                                                                                                       ^
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    30 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                                                                                                                                                                                   ^
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    30 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                                                                                                                                                                                            ^
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checkRd: (-1) MFA_ECM.Rd:43: Lost braces; missing escapes or markup?
    43 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                              ^
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    43 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                          ^
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    43 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                      ^
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    43 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                                                                                                                                                                       ^
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    43 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                                                                                                                                                                                   ^
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    43 | \item{conv_measure}{The convergence criterion of the ECM algorithm. The default \code{'diff'} stops the ECM iterations if |l^{(k+1)} - l^{(k)}| < \code{tol} where l^{(k)} is the log-likelihood at the \emph{k}th ECM iteration. If \code{'ratio'}, then the convergence of the ECM iterations is measured using |(l^{(k+1)} - l^{(k)})/l^{(k+1)}|.}
       |                                                                                                                                                                                                                                                                                                                                            ^
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