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glmtoolbox (version 0.1.12)

estequa.overglm: Estimating Equations for alternatives to the Poisson and Binomial Regression Models under the presence of Overdispersion.

Description

Computes the estimating equations evaluated at the parameter estimates and the observed data for regression models based on the negative binomial, beta-binomial, and random-clumped binomial distributions, which are alternatives to the Poisson and binomial regression models under the presence of overdispersion.

Usage

# S3 method for overglm
estequa(object, ...)

Value

A vector with the values of the estimating equations evaluated at the parameter estimates and the observed data.

Arguments

object

an object of the class overglm.

...

further arguments passed to or from other methods.

Examples

Run this code
### Example 1: Ability of retinyl acetate to prevent mammary cancer in rats
data(mammary)
fit1 <- overglm(tumors ~ group, family="nb1(identity)", data=mammary)
estequa(fit1)

### Example 2: Self diagnozed ear infections in swimmers
data(swimmers)
fit2 <- overglm(infections ~ frequency + location, family="nb1(log)", data=swimmers)
estequa(fit2)

### Example 3: Urinary tract infections in HIV-infected men
data(uti)
fit3 <- overglm(episodes ~ cd4 + offset(log(time)), family="nb1(log)", data = uti)
estequa(fit3)

### Example 4: Article production by graduate students in biochemistry PhD programs
bioChemists <- pscl::bioChemists
fit4 <- overglm(art ~ fem + kid5 + ment, family="nb1(log)", data = bioChemists)
estequa(fit4)

### Example 5: Agents to stimulate cellular differentiation
data(cellular)
fit5 <- overglm(cbind(cells,200-cells) ~ tnf + ifn, family="bb(logit)", data=cellular)
estequa(fit5)

### Example 6: Teratogenic effects of phenytoin and trichloropropene oxide
data(ossification)
model6 <- cbind(fetuses,litter-fetuses) ~ pht + tcpo
fit6 <- overglm(model6, family="rcb(cloglog)", data=ossification)
estequa(fit6)

### Example 7: Germination of orobanche seeds
data(orobanche)
model7 <- cbind(germinated,seeds-germinated) ~ specie + extract
fit7 <- overglm(model7, family="rcb(cloglog)", data=orobanche)
estequa(fit7)

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