McKelvey & Zavoinas R2
Calculates McKelvey & Zavoinas pseudo R2.
r2_mckelvey(model)
model |
Generalized linear model. |
McKelvey & Zavoinas R2 is based on the explained variance,
where the variance of the predicted response is divided by the sum
of the variance of the predicted response and residual variance.
For binomial models, the residual variance is either pi^2/3
for logit-link and 1 for probit-link. For poisson-models, the
residual variance is based on log-normal approximation, similar to
the distribution-specific variance as described in
?insight::get_variance.
The R2 value.
McKelvey, R., Zavoina, W. (1975), "A Statistical Model for the Analysis of Ordinal Level Dependent Variables", Journal of Mathematical Sociology 4, S. 103–120.
## Dobson (1990) Page 93: Randomized Controlled Trial: counts <- c(18, 17, 15, 20, 10, 20, 25, 13, 12) # outcome <- gl(3, 1, 9) treatment <- gl(3, 3) model <- glm(counts ~ outcome + treatment, family = poisson()) r2_mckelvey(model)
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