R: ANOVA for two quasi Poisson regression models

ANOVA for two quasi Poisson regression models {Rfast} | R Documentation

## ANOVA for two quasi Poisson regression models

### Description

ANOVA for two quasi Poisson regression models.

### Usage

    anova_quasipois.reg(mod0, mod1, n)

### Arguments

`mod0` | An object as returned by the "qpois.reg" function. This is the null model.
`mod1` | An object as returned by the "qpois.reg" function. This is the alternative model.
`n` | The sample size. This is necessary to calculate the degrees of freedom.

### Details

This is an ANOVA type significance testing for two quasi Poisson models.

### Value

A vector with 4 elements, the test statistic value, its associated p-value and the relevant degrees of freedom of the numerator and the denominator.

### Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr> and Manos Papadakis <papadakm95@gmail.com>.

### References

Papke L. E. & Wooldridge J. (1996). Econometric methods for fractional response variables with an application to 401(K) plan participation rates. Journal of Applied Econometrics, 11(6): 619–632.

McCullagh, Peter, and John A. Nelder. Generalized linear models. CRC press, USA, 2nd edition, 1989.

### See Also

`anova_qpois.reg, qpois.reg, univglms, quasipoisson.anova`

### Examples

    ## Not run:
    y <- rnbinom(200, 10, 0.5)
    x <- matrix(rnorm(200 * 3), ncol = 3)
    a1 <- qpois.reg(x, y)
    a0 <- qpois.reg(x[, 1], y)
    res<-anova_quasipois.reg(a0, a1, 200)
    b1 <- glm(y ~ x, family = quasipoisson)
    b0 <- glm(y ~ x[, 1], family = quasipoisson)
    res<-anova(b0, b1, test = "F")
    c1 <- glm(y ~ x, family = poisson)
    c0 <- glm(y ~ x[, 1], family = poisson)
    res<-anova(c0, c1, test = "Chisq")

    ## End(Not run)

[Package Rfast version 2.0.4 Index]