hapassoc (version 1.2-1)

logLik.hapassoc: Return log-likelihood

Description

This function is used to return the log-likelihood at the maximum likelihood estimates computed by hapassoc and to return the number of parameters fit by hapassoc (i.e. the degrees of freedom in R) for cohort or cross-sectional data.

Usage

## S3 method for class 'hapassoc':
logLik(object, \ldots)

Arguments

object

a list of class hapassoc output by the hapassoc function

...

additional arguments to the summary function (currently unused)

Value

• logLik
  log-likelihood computed at the maximum likelihood estimates if design="cohort", or NA if design="cc"
• df
  number of parameters in the model (i.e. regression coefficients, any dispersion parameters and haplotype frequencies). This is not the residual degrees of freedom, which is the number of subjects minus the number of parameters estimated.

Details

See the hapassoc vignette, of the same name as the package, for details.

References

Burkett K, McNeney B, Graham J (2004). A note on inference of trait associations with SNP haplotypes and other attributes in generalized linear models. Human Heredity, 57:200-206

Burkett K, Graham J and McNeney B (2006). hapassoc: Software for Likelihood Inference of Trait Associations with SNP Haplotypes and Other Attributes. Journal of Statistical Software, 16(2):1-19

See Also

pre.hapassoc,hapassoc, summary.hapassoc.

Examples

data(hypoDatGeno)
example2.pre.hapassoc<-pre.hapassoc(hypoDatGeno, numSNPs=3, allelic=FALSE)
example.regr <- hapassoc(affected ~ attr + hAAA+ hACA + hACC + hCAA + 
pooled, example2.pre.hapassoc, family=binomial())
logLik(example.regr)

# Returns:
# Log Lik: -322.1558 (df=14)