R
R.package
!!!easystats
https://github.com/easystats
https://qiita.com/ocean_f/items/f1074f8cc05241dc28eb
{{outline}}
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!!GLMMなどの妥当性評価

!モデルパフォーマンス
{{pre
model_performance(modelER3f)

## # Indices of model performance
## 
## AIC      |      BIC | R2 (cond.) | R2 (marg.) |   ICC |  RMSE | Sigma | Score_log | Score_spherical
## ---------------------------------------------------------------------------------------------------
## 1357.583 | 1378.366 |      0.819 |      0.532 | 0.612 | 4.957 | 1.000 |    -2.501 |           0.055
}}

!R2： r2()
{{pre
r2(modelER3f)

# R2 for Mixed Models

  Conditional R2: 0.912
     Marginal R2: 0.233
}}
*Conditionalは Mixed Modelsの寄与率
*Marginal は固定要因のみの寄与率
!多重共線性： check_collinearity()

{{pre
check_normality(modelER3f)

 OK: residuals appear as normally distributed (p = 0.730).
}}

*結果を plot()

!正規性： check_normality()
*結果を plot()

!過分散： check_overdispersion()

!ゼロ過剰： check_zeloinflation()

!!インストール
{{pre
install.packages("performance")

library(performance)

}}