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better notify on some of the major changes and new features; bump ver…
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gavinsimpson committed Oct 16, 2023
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4 changes: 2 additions & 2 deletions DESCRIPTION
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Package: gratia
Version: 0.8.1.41
Date: 2023-10-13
Version: 0.8.1.42
Date: 2023-10-16
Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Authors@R: c(person(given = "Gavin L.", family = "Simpson",
email = "ucfagls@gmail.com",
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15 changes: 10 additions & 5 deletions NEWS.md
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# gratia 0.8.1.41
# gratia 0.8.1.42

## User visible changes

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* `fitted_values()` now has some level of support for location, scale, shape
families. Suppoerted families are `mgcv::gaulss()`, `mgcv::gumbls()`,
`mgcv::gevlss()`, `mgcv::gumbls()`, `mgcv::shash()`, and `mgcv::ziplss()`.


* *gratia* now requires *dplyr* versions >= 1.1.0 and *tidyselect* >= 1.2.0.

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* New function `null_deviance()` that extracts the null deviance of a fitted
model.

* `draw()`, `smooth_estimates()`, & `smooth_samples()` now all work for models
fitted with `scam::scam()`. Currently support extends only to univariate
smooths.
* `draw()`, `smooth_estimates()`, `fitted_values()`, `data_slice()`, and
`smooth_samples()` now all work for models fitted with `scam::scam()`.
Where it matters, current support extends only to univariate smooths.

* `post_draws()` is a new low-level function for generating posterior draws
from fitted model coefficients. `post_daws()` is an S3 generic function so is
extensible by users. Currently provides a simple interface to a simple
Gaussian approximation sampler (`gaussian_draws()`) and the simple Metropolis
Hasting sample (`mh_draws()`) available via `mgcv::gam.mh()`.

## Bug fixes

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