insight

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`get_variance()` and `null_model()` issues when called from inside functions

6

``` r library(glmmTMB) library(insight) my_fun0 #> Number of obs: 32 #> #> Dispersion parameter for beta family (): 46.8 #> #> Fixed Effects: #> #> Conditional model: #> (Intercept) #>...

strengejacke

`get_predicted`: Satterthwaite and Kenward df

14

Is there an easy way to repurpose some of the code in `parameters` to allow these in `insight::get_predicted` or should I start from scratch? Git Blame says that @strengejacke wrote...

vincentarelbundock

*Related to easystats/parameters#706* ``` r library(nlme) library(effectsize) data("mtcars") mtcars$cyl Mazda RX4 1 1 0 #> Mazda RX4 Wag 1 1 0 #> Datsun 710 1 0 0 #> Hornet 4...

mattansb

CIs for `get_predicted.coxph()` when `type = "expected"`

3

@vincentarelbundock @bwiernik for coxph, `type = "expected"` seems to return incorrect CIs - probably because the back-transformation is not correct. Do you know how to get CIs from the predictions...

strengejacke

Extend support for `(b)lavaan` models

7

Related to https://github.com/easystats/effectsize/issues/420 ```R library(blavaan) model Warning message: #> Could not access model information. ```

mattansb

`get_data()` does not return scaled variables in subset.

4

Works with `log()` etc., but not with `scale()`. Haven't looked into it in details, but looks a bit more complicated. ``` r library(insight) m 51 7.0 0.32731751 versicolor #> 52...

strengejacke

Not sure if .variance_distributional is working for logit link function?

1

I notice that .variance_distributional sets mu to exp(null_fixef) before using mu in its cvsquared calculation. That makes sense to me for the log link function (exponentiating the intercept of the...

lukestrickland

R-INLA model support request

6

I’ve been using this package a lot recently, and would love to see it supported in insight. Thanks! http://www.r-inla.org

gitJMDR

Support for "unmarked"

3

See [CRAN](https://cran.r-project.org/package=unmarked) and [SO](https://stackoverflow.com/q/60436420/2094622).

strengejacke

Support for h2o

5

Hi! Great package. Thanks for sharing! Are you planning to add support to h2o models and framework? Would be very useful to have them included. Cheers.

laresbernardo