r2 | R Documentation |
Calculate the R2, also known as the coefficient of determination, value for different model objects. Depending on the model, R2, pseudo-R2, or marginal / adjusted R2 values are returned.
r2(model, ...)
## Default S3 method:
r2(model, ci = NULL, verbose = TRUE, ...)
## S3 method for class 'mlm'
r2(model, multivariate = TRUE, ...)
## S3 method for class 'merMod'
r2(model, ci = NULL, tolerance = 1e-05, ...)
model |
A statistical model. |
... |
Arguments passed down to the related r2-methods. |
ci |
Confidence interval level, as scalar. If |
verbose |
Logical. Should details about R2 and CI methods be given
( |
multivariate |
Logical. Should multiple R2 values be reported as
separated by response (FALSE) or should a single R2 be reported as
combined across responses computed by |
tolerance |
Tolerance for singularity check of random effects, to decide
whether to compute random effect variances for the conditional r-squared
or not. Indicates up to which value the convergence result is accepted. When
|
Returns a list containing values related to the most appropriate R2
for the given model (or NULL
if no R2 could be extracted). See the
list below:
Logistic models: Tjur's R2
General linear models: Nagelkerke's R2
Multinomial Logit: McFadden's R2
Models with zero-inflation: R2 for zero-inflated models
Mixed models: Nakagawa's R2
Bayesian models: R2 bayes
If there is no r2()
-method defined for the given model class, r2()
tries
to return a "generic" r-quared value, calculated as following:
1-sum((y-y_hat)^2)/sum((y-y_bar)^2)
r2_bayes()
, r2_coxsnell()
, r2_kullback()
, r2_loo()
,
r2_mcfadden()
, r2_nagelkerke()
, r2_nakagawa()
, r2_tjur()
,
r2_xu()
, r2_zeroinflated()
, and r2_mlm()
.
# Pseudo r-quared for GLM
model <- glm(vs ~ wt + mpg, data = mtcars, family = "binomial")
r2(model)
# r-squared including confidence intervals
model <- lm(mpg ~ wt + hp, data = mtcars)
r2(model, ci = 0.95)
model <- lme4::lmer(Sepal.Length ~ Petal.Length + (1 | Species), data = iris)
r2(model)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.