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[1] ""
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+ # autoplot-ting survival models with integrated metric
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+
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+ Code
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+ ggplot2::get_labs(int_grid)
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+ Output
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+ $colour
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+ `Proportion of Lasso Penalty`
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+
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+ $x.sec
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+ NULL
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+
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+ $x
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+ [1] "Amount of Regularization"
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+
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+ $y
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+ [1] "brier_survival_integrated"
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+
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+ $y.sec
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+ NULL
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+
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+ $group
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+ [1] "Proportion of Lasso Penalty"
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+
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+ $alt
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+ [1] ""
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+
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+
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+ ---
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+
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+ Code
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+ ggplot2::get_labs(int_marginal)
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+ Output
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+ $x.sec
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+ NULL
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+
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+ $x
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+ [1] ""
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+
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+ $y
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+ [1] "brier_survival_integrated"
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+
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+ $y.sec
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+ NULL
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+
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+ $alt
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+ [1] ""
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+
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+
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+ ---
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+
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+ Code
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+ ggplot2::get_labs(int_perf)
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+ Output
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+ $x.sec
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+ NULL
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+
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+ $x
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+ [1] "Iteration"
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+
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+ $y
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+ [1] "brier_survival_integrated"
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+
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+ $y.sec
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+ NULL
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+
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+ $ymin
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+ [1] "mean - const * std_err"
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+
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+ $ymax
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+ [1] "mean + const * std_err"
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+
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+ $alt
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+ [1] ""
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+
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+
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+ ---
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+
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+ Code
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+ ggplot2::get_labs(int_param)
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+ Output
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+ $x.sec
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+ NULL
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+
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+ $x
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+ [1] "Iteration"
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+
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+ $y
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+ [1] ""
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+
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+ $y.sec
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+ NULL
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+
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+ $alt
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+ [1] ""
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+
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+
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# autoplot-ting survival models with dynamic metric
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Code
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---
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Code
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- dyn_mult_param <- autoplot(bayes_dynamic_res, type = "parameters", eval_time = c(
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- 10, 15))
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- Condition
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- Warning:
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- `eval_time` is not used with `autoplot(..., type = 'parameters')`.
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+ ggplot2::get_labs(dyn_grid)
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+ Output
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+ $x.sec
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+ NULL
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+
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+ $x
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+ [1] ""
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+
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+ $y
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+ [1] "brier_survival @10"
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+
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+ $y.sec
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+ NULL
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+
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+ $alt
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+ [1] ""
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+
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---
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---
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Code
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- mix_mult_param <- autoplot(bayes_mixed_res, type = "parameters", eval_time = c(
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- 10, 15))
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- Condition
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- Warning:
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- `eval_time` is not used with `autoplot(..., type = 'parameters')`.
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+ ggplot2::get_labs(mix_grid)
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+ Output
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+ $x.sec
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+ NULL
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+
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+ $x
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+ tree_depth
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+ "Tree Depth"
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+
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+ $y
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+ [1] ""
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+
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+ $y.sec
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+ NULL
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+
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+ $alt
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+ [1] ""
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+
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---
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