Packaged: Tue Oct 14 16:33:18 2008; kellyb

Title: Inference of trait associations with SNP haplotypes and other
Author: K. Burkett <kburkett@sfu.ca>, B. McNeney <mcneney@sfu.ca>, J.
Graham <jgraham@stat.sfu.ca>, with code for case-control data
contributed by Zhijian Chen <z11chen@math.uwaterloo.ca>
Description: The following R functions are used for inference of trait
associations with haplotypes and other covariates in
generalized linear models.  The functions are developed
primarily for data collected in cohort or cross-sectional
studies. They can accommodate uncertain haplotype phase and
Packaged: Tue Nov 24 23:29:03 2009; kellyb

Packaged: 2014-08-25 16:51:01 UTC; kellyburkett

Title: Inference of Trait Associations with SNP Haplotypes and Other
Author: K. Burkett <kburkett@uottawa.ca>, B. McNeney <mcneney@sfu.ca>, J.
Packaged: 2015-05-10 13:42:05 UTC; kellyburkett

Packaged: 2022-05-25 15:55:55 UTC; kellyburkett

Packaged: Fri Jul 18 18:57:22 2008; mcneney

Title: Estimate Haplotype Relative Risks in Case-Control Data
Author: Benjamin French and Thomas Lumley
Depends: R (>= 2.0.1), haplo.stats, survival
Description: 'haplo.ccs' estimates haplotype and covariate relative risks in case-control data by weighted logistic regression. Diplotype probabilities, which are estimated by EM computation with progressive insertion of loci, are utilized as weights.
Packaged: Wed Feb  8 12:58:32 2006; hornik

Packaged: Tue May  9 10:03:49 2006; hornik

Depends: R (>= 2.13.0), haplo.stats, survival
Description: 'haplo.ccs' estimates haplotype and covariate relative
risks in case-control data by weighted logistic regression.
Diplotype probabilities, which are estimated by EM computation
with progressive insertion of loci, are utilized as weights.

Description: Haplotype and covariate relative risks in case-control data are estimated by weighted logistic regression. Diplotype probabilities, which are estimated by EM computation with progressive insertion of loci, are utilized as weights. French et al. (2006) <doi:10.1002/gepi.20161>.