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std_error is on the scale of linear predictors
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R/predict.R

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#' is the parameter for the tail area of the intervals
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#' (e.g. confidence level for confidence intervals).
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#' Default value is 0.95.
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#' \item `std_error`: add the standard error of fit or
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#' prediction for `type`s of "conf_int" and "pred_int".
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#' Default value is `FALSE`.
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#' \item `std_error`: add the standard error of fit or prediction (on
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#' the scale of the linear predictors) for `type`s of "conf_int"
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#' and "pred_int". Default value is `FALSE`.
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#' \item `quantile`: the quantile(s) for quantile regression
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#' (not implemented yet)
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#' \item `time`: the time(s) for hazard probability estimates

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