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(v1.4.0.9043) documentation update
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@ -69,7 +69,7 @@ ggplot_rsi_predict(
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\item{info}{a logical to indicate whether textual analysis should be printed with the name and \code{\link[=summary]{summary()}} of the statistical model.}
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\item{...}{parameters passed on to functions}
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\item{...}{arguments passed on to functions}
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\item{main}{title of the plot}
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@ -93,7 +93,7 @@ Furthermore, the model itself is available as an attribute: \code{attributes(x)$
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Create a prediction model to predict antimicrobial resistance for the next years on statistical solid ground. Standard errors (SE) will be returned as columns \code{se_min} and \code{se_max}. See \emph{Examples} for a real live example.
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}
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\details{
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Valid options for the statistical model (parameter \code{model}) are:
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Valid options for the statistical model (argument \code{model}) are:
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\itemize{
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\item \code{"binomial"} or \code{"binom"} or \code{"logit"}: a generalised linear regression model with binomial distribution
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\item \code{"loglin"} or \code{"poisson"}: a generalised log-linear regression model with poisson distribution
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