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Added '\' before '$'
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R/ds.glm.R

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#' The \code{data} argument avoids you having to specify the name of the
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#' data frame in front of each covariate in the formula.
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#' For example, if the data frame is called \code{DataFrame} you
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#' avoid having to write: \eqn{DataFrame$y ~ DataFrame$a + DataFrame$b + DataFrame$c + DataFrame$d}
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#' avoid having to write: \eqn{DataFrame\$y ~ DataFrame\$a + DataFrame\$b + DataFrame\$c + DataFrame\$d}
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#'
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#' The \code{checks} argument verifies that the variables in the model are all defined (exist)
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#' on the server-side at every study

R/ds.glmSLMA.R

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#' The \code{dataName} argument avoids you having to specify the name of the
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#' data frame in front of each covariate in the formula.
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#' For example, if the data frame is called \code{DataFrame} you
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#' avoid having to write: \eqn{DataFrame$y ~ DataFrame$a + DataFrame$b + DataFrame$c + DataFrame$d}
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#' avoid having to write: \eqn{DataFrame\$y ~ DataFrame\$a + DataFrame\$b + DataFrame\$c + DataFrame\$d}
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#'
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#' The \code{checks} argument verifies that the variables in the model are all defined (exist)
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#' on the server-site at every study

R/ds.glmerSLMA.R

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#' The \code{dataName} argument avoids you having to specify the name of the
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#' data frame in front of each covariate in the formula.
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#' For example, if the data frame is called \code{DataFrame} you avoid having to write:
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#' \eqn{DataFrame$y ~ DataFrame$a + DataFrame$b + (1 | DataFrame$c)}.
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#' \eqn{DataFrame\$y ~ DataFrame\$a + DataFrame\$b + (1 | DataFrame\$c)}.
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#'
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#' The \code{checks} argument verifies that the variables in the model are all defined (exist)
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#' on the server-site at every study

R/ds.lmerSLMA.R

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#' The \code{dataName} argument avoids you having to specify the name of the
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#' data frame in front of each covariate in the formula.
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#' For example, if the data frame is called \code{DataFrame} you avoid having to write:
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#' \eqn{DataFrame$y ~ DataFrame$a + DataFrame$b + (1 | DataFrame$c)}.
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#' \eqn{DataFrame\$y ~ DataFrame\$a + DataFrame\$b + (1 | DataFrame\$c)}.
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#'
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#' The \code{checks} argument verifies that the variables in the model are all defined (exist)
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#' on the server-site at every study

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