Support models of class gamm

[IreneRepeto]

in model_dashboard: Regression model summary from {easystats}, model fit and textual summary:

`Oops, objects of class [gamm, list] are not supported (yet) by report_performance() :(

[etiennebacher]

Hello, it seems that models of class gamm are not supported by the package report (as indicated in the message). However, it is possible to run performance::performance() on them:

library(mgcv)
#> Le chargement a nécessité le package : nlme
#> This is mgcv 1.9-0. For overview type 'help("mgcv-package")'.

packageVersion("performance")
#> [1] '0.10.4'
packageVersion("report")
#> [1] '0.5.7.10'

# from mgcv::gamm
set.seed(0) 
dat <- gamSim(1,n=200,scale=2)
#> Gu & Wahba 4 term additive model
model <- gamm(y~s(x0)+s(x1)+s(x2)+s(x3),data=dat)

performance::performance(model)
#> Warning in nobs.default(object, use.fallback = use.fallback): pas de méthode
#> 'nobs' disponible
#> # Indices of model performance
#> 
#> AIC     |     BIC |    R2 |  RMSE | Sigma
#> -----------------------------------------
#> 891.170 | 940.654 | 0.707 | 2.083 | 2.115

report::report_performance(model)
#> Error: Oops, objects of class [gamm, list] are not supported (yet) by report_performance() :(
#> 
#> Want to help? Check out https://easystats.github.io/report/articles/new_models.html

Therefore I move this issue to the report repository (also next time please use a more explicit title than "please!")

[IreneRepeto]

Many thanks Etienne, and sorry for the unexplicit title. It was just my frustration speaking.

Great work!
Irene