insight icon indicating copy to clipboard operation
insight copied to clipboard

:crystal_ball: Easy access to model information for various model objects

Results 91 insight issues
Sort by recently updated
recently updated
newest added
trafficstars

While linear mixed effect models are supported, nonlinear mixed effects models like `nlme` are not supported at this time. I'm unsure this is in scope or out of scope for...

Enhancement :boom:
Waiting for response :love_letter:
New models :alien:

Here's a list of all features / issues etc., to have a global view and avoid opening multiple issues. - [x] API Design (https://github.com/easystats/insight/issues/310) - [x] Fix for "log()" terms...

Enhancement :boom:
get_predicted

I _think_ I'm asking about adding MIresult objects as a supported model class. But it might help if I explain. Working with ordinal complex survey data (YRBS), I multiply imputed...

Enhancement :boom:
Reprex :bar_chart:
New models :alien:

I'm adding this as an issue so that it can be discussed before I propose more changes. I would be happy to contribute changes to support (or enhance) objects of...

Enhancement :boom:
New models :alien:

Getting this error when trying several tidymodels: MARS (shown), Random Forest, etc ``` Error in if (minfo$is_bayesian) { : argument is of length zero ``` ## Reproducible Example ``` r...

Enhancement :boom:
New models :alien:

``` r m Error in mm %*% vcovmat: non-conformable arguments ``` (Once this is fixed, this can also be applied to `afex_aov` models. #400)

Enhancement :boom:
get_predicted

Hi there, Quick request: I'm not sure how popular the package is, but as a user of the _segmented_ package, support by insight would be helpful. Cheers, and keep up...

Enhancement :boom:
New models :alien:

Edit: The scope of this issue has changed. See posts below for a description of the problem. `get_predicted.brmsfit` does not appear to support multinomial or cumulative models: ``` r library(brms)...

enhancement :boom:
get_predicted

Love this package. I was working with a beta regression with a cloglog link recently, but cannot get an R2. Here is a reproducible example. Thoughts? ``` library(insight) library(betareg) library(glmmTMB)...

Enhancement :boom:

or a named list as attribute, similar to how pretty_names are stored? _Originally posted by @DominiqueMakowski in https://github.com/easystats/parameters/issues/103#issuecomment-529967458_

Enhancement :boom: