da.betareg.fit: Provides fit indices for betareg models.

In dominanceanalysis: Dominance Analysis

Description

Nagelkerke and Estrella are not provided because are designed for discrete dependent variables. Cox and Snell is preferred and pseudo-R^2 should be preferred, because McFadden's index could be negative.

Usage

da.betareg.fit(original.model, newdata = NULL, ...)

Arguments

original.model	Original fitted model
newdata	Data used in update statement
...	ignored

Value

A function described by using-fit-indices. You could retrieve following indices:

r2.pseudo

Provided by betareg by default

r2.m

McFadden(1974)

r2.cs

Cox and Snell(1989).

References

• Cox, D. R., & Snell, E. J. (1989). The analysis of binary data (2nd ed.). London, UK: Chapman and Hall.

• Estrella, A. (1998). A new measure of fit for equations with dichotomous dependent variables. Journal of Business & Economic Statistics, 16(2), 198-205. doi: 10.1080/07350015.1998.10524753.

• McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in econometrics (pp. 104-142). New York, NY: Academic Press.

• Shou, Y., & Smithson, M. (2015). Evaluating Predictors of Dispersion:A Comparison of Dominance Analysis and Bayesian Model Averaging. Psychometrika, 80(1), 236-256.

See Also

Other fit indices: da.dynlm.fit(), da.glm.fit(), da.lm.fit(), da.lmWithCov.fit(), da.lmerMod.fit(), da.mlmWithCov.fit()

dominanceanalysis documentation built on Jan. 13, 2021, 3:47 p.m.