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Updated plot.predict_jm #4

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harryparr
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Amended plotting fn slightly to allow for greater control/flexibility of the longitudinal y-axis limits. When exponentiating, I found the limits were very wide looking at the ranges <- attr(x, "ranges") of the original data, rather than the subset of data in question. Only tested with a univariate longitudinal outcome, so may need to be further adapted.

Amended plotting fn slightly to allow for greater control/flexibility of the longitudinal y-axis limits. When exponentiating, I found the limits were very wide looking at the `ranges <- attr(x, "ranges")` of the original data rather than the subset of data in question. Only tested with a univariate longitudinal outcome.
@drizopoulos
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It has been resolved by adding the extra argument ylim_long_outcome_range in the plot() method.

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