Simple glms no longer supported?

[jbohenek]

Hey all,

Again, I love the package, thanks for all the hard work. I am writing because I am having issues using performance (0.10.8)'s check_model() on a simple binomial model. The weird thing is that a previous version of check_model() worked fine on this model. And what's also weird is that it's not every simple glm(). For example, using check_model() on glm(vs~mpg,data=mtcars,family=binomial()) works just fine, but it still errors for my model below.

library(tidyverse)
library(easystats)
#> Warning: package 'easystats' was built under R version 4.3.2
#> # Attaching packages: easystats 0.7.0
#> ✔ bayestestR  0.13.1   ✔ correlation 0.8.4 
#> ✔ datawizard  0.9.0    ✔ effectsize  0.8.6 
#> ✔ insight     0.19.7   ✔ modelbased  0.8.6 
#> ✔ performance 0.10.8   ✔ parameters  0.21.3
#> ✔ report      0.5.7    ✔ see         0.8.1
eel<-read_csv("https://raw.githubusercontent.com/jbohenek/biol_5130/main/eel.csv") |>
  mutate(cured_bin = cured |> factor() |> as.numeric()-1)
#> Rows: 113 Columns: 4
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (3): id, cured, intervention
#> dbl (1): duration
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
eel$cured_bin |> str()
#>  num [1:113] 1 1 1 0 0 0 1 0 0 1 ...

#model
fit<-glm(cured_bin~intervention+duration,data=eel,family=binomial())
summary(fit) #fits fine
#> 
#> Call:
#> glm(formula = cured_bin ~ intervention + duration, family = binomial(), 
#>     data = eel)
#> 
#> Coefficients:
#>                           Estimate Std. Error z value Pr(>|z|)   
#> (Intercept)              -0.998873   1.333109  -0.749  0.45369   
#> interventionNo treatment  1.233532   0.414565   2.975  0.00293 **
#> duration                  0.007835   0.175913   0.045  0.96447   
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> (Dispersion parameter for binomial family taken to be 1)
#> 
#>     Null deviance: 154.08  on 112  degrees of freedom
#> Residual deviance: 144.16  on 110  degrees of freedom
#> AIC: 150.16
#> 
#> Number of Fisher Scoring iterations: 4

#check
check_model(fit)
#> Error: `check_model()` not implemented for models of class `glm` yet.


Created on 2023-11-29 with [reprex v2.0.2](https://reprex.tidyverse.org/)

[strengejacke]

Thanks, should be fixed in #660

library(easystats)
#> # Attaching packages: easystats 0.7.0 (red = needs update)
#> ✔ bayestestR  0.13.1.7     ✔ correlation 0.8.4.9000
#> ✔ datawizard  0.9.0.2      ✔ effectsize  0.8.6.2   
#> ✖ insight     0.19.6.6     ✔ modelbased  0.8.6.4   
#> ✔ performance 0.10.8.6     ✔ parameters  0.21.3.1  
#> ✔ report      0.5.7.13     ✔ see         0.8.1     
#> 
#> Restart the R-Session and update packages with `easystats::easystats_update()`.

eel <- data_read("https://raw.githubusercontent.com/jbohenek/biol_5130/main/eel.csv") |>
  data_modify(cured_bin = to_numeric(cured, lowest = 0))

fit <- glm(cured_bin ~ intervention + duration, data = eel, family = binomial())
check_model(fit)

^{Created on 2023-11-29 with reprex v2.0.2}

[jbohenek]

Perfect, thank you.