Comments (3)
Would it be better to have draw.gam()
return inconsistently along the lines you suggest, or have a separate function assemble()
which would produce (the equivalent of) g
, and leave draw.gam()
as it is now, but use assemble()
internally to create g
?
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Honestly, I'm unsure. A separate function maintains better {function name} -> {actual effect} mapping, but it's more memory load for users. Though, since you don't have an intro vignette yet, you have more flexibility to explicitly document the suggested workflow.
Ideally, we should just extend the +
operator to work on the output of plot_grid
... but that is a job for Claus Wilke, I think!
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OK, thanks @ha0ye. I'll make an executive decision then 😄
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Related Issues (20)
- Support for models with `gfam()` family
- `data_sim()`
- gfam support in `appraise()`
- `draw()` works with gfam models HOT 1
- gfam support in `fitted_samples()`
- gfam support in `posterior_samples()`
- gfam support in `smooth_samples()`
- gfam support in `simulate.gam()`
- `compute_partial_residuals` is wrong if deviance residuals are not equivalent to pearson residuals? HOT 2
- Ensure continuity of gam from start of series to end of series HOT 1
- Tests fail with current version of `Matrix` (1.6-5): `function 'chm_factor_ldetL2' not provided by package 'Matrix'` HOT 3
- Improve plotting code for SOS (spline-on-the-sphere) smooths
- Work towards bayesplot and loo integration?
- Select mvn_method when running `fitted_samples()` HOT 1
- shift=TRUE not working for confint.gam() HOT 5
- Possible PR: making posterior draws compatible with MCMC diagnostic packages
- `draw()` fails with `parametric = TRUE` if there aren't any parametric effects to actually plot
- `draw` forgets order of ordered factor HOT 2
- Encountering errors with difference_smooths() - potential bug? HOT 1
- `appraise()` and `qq_plot()` need a `seed` argument and to run the RNG-using bits with that seed
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