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

In dominanceanalysis: Dominance Analysis

Provides fit indices for betareg models.

Description

Note that the Nagelkerke and Estrella coefficients are designed for discrete dependent variables and thus cannot be used in this context. Instead, the Cox and Snell coefficient is recommended, along with the pseudo-R^2. It is worth noting that McFadden's index may produce negative values and should be avoided.

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.clm.fit(), da.dynlm.fit(), da.glm.fit(), da.lm.fit(), da.lmWithCov.fit(), da.lmerMod.fit(), da.mlmWithCov.fit()

dominanceanalysis documentation built on May 29, 2024, 2:28 a.m.