negative.binomial.RdSpecifies the information required to fit a Negative Binomial generalized
linear model, with known theta parameter, using glm().
negative.binomial(theta = stop("'theta' must be specified"), link = "log")
| theta | The known value of the additional parameter, |
|---|---|
| link | The link function, as a character string, name or one-element
character vector specifying one of |
An object of class "family", a list of functions and
expressions needed by glm() to fit a Negative Binomial
generalized linear model.
Venables, W. N. and Ripley, B. D. (1999) Modern Applied Statistics with S-PLUS. Third Edition. Springer.
# Fitting a Negative Binomial model to the quine data # with theta = 2 assumed known. # glm(Days ~ .^4, family = negative.binomial(2), data = quine)#> #> Call: glm(formula = Days ~ .^4, family = negative.binomial(2), data = quine) #> #> Coefficients: #> (Intercept) EthN SexM #> 3.0564 -0.1386 -0.4914 #> AgeF1 AgeF2 AgeF3 #> -0.6227 -2.3632 -0.3784 #> LrnSL EthN:SexM EthN:AgeF1 #> -1.9577 -0.7524 0.1029 #> EthN:AgeF2 EthN:AgeF3 EthN:LrnSL #> -0.5546 0.0633 2.2588 #> SexM:AgeF1 SexM:AgeF2 SexM:AgeF3 #> 0.4092 3.1098 1.1145 #> SexM:LrnSL AgeF1:LrnSL AgeF2:LrnSL #> 1.5900 2.6421 4.8585 #> AgeF3:LrnSL EthN:SexM:AgeF1 EthN:SexM:AgeF2 #> NA -0.3105 0.3469 #> EthN:SexM:AgeF3 EthN:SexM:LrnSL EthN:AgeF1:LrnSL #> 0.8329 -0.1639 -3.5493 #> EthN:AgeF2:LrnSL EthN:AgeF3:LrnSL SexM:AgeF1:LrnSL #> -3.3315 NA -2.4285 #> SexM:AgeF2:LrnSL SexM:AgeF3:LrnSL EthN:SexM:AgeF1:LrnSL #> -4.1914 NA 2.1711 #> EthN:SexM:AgeF2:LrnSL EthN:SexM:AgeF3:LrnSL #> 2.1029 NA #> #> Degrees of Freedom: 145 Total (i.e. Null); 118 Residual #> Null Deviance: 280.2 #> Residual Deviance: 172 AIC: 1095