NEWS
GWASbyCluster 0.1.7 (2019-10-11)
- (1) directly use limma instead of iCheck
GWASbyCluster 0.1.5
- (1) changed format of DOI
GWASbyCluster 0.1.3
- (1) corrected an error in CITATION file
GWASbyCluster 0.1.2
- (1) Revised DESCRIPTION file, and added CITATION file
GWASbyCluster 0.1.0
choose which method he/she would like to use to determine SNP cluster membership
GWASbyCluster 0.0.9
- (1) exclude functions due to long running time
estMemSNPs.piAB.oneSetHyperPara and estMemSNPs.piAB
GWASbyCluster 0.0.8
GWASbyCluster 0.0.7
- (1) remove 'estMemSNPsDiffPriors' and 'estMemSNPsDiffPriors.piAB'
GWASbyCluster 0.0.6
- (1) simplify the outputs
(2) add function 'estMemSNPs.oneSetHyperPara'
(3) rename function name 'estMemSNPs2' to 'estMemSNPsDiffPriors'
(4) add function 'estMemSNPs.piAB.oneSetHyperPara'
(5) add function 'estMemSNPsDiffPriors.piAB'
(6) remove 'EM.model' and 'genotype.data' from NAMESPACE
GWASbyCluster 0.0.5
- (1) add default data
(2) rename 'simFunc.3cat' to ' simGenoFunc'
(3) rename 'simFunc.3cat2' to ' simGenoFuncDiffPriors'
(4) add details for Rd files
GWASbyCluster 0.0.4
GWASbyCluster 0.0.3
- (1) add functions 'estMemSNPs', 'estMemSNPs.piAB', 'estMemSNPs2',
and 'estMemSNPs2.piAB'
GWASbyCluster 0.0.2
- (1) add comments to 'EM.model' to explain inputs
(2) add input 'memSubj': nx1 binary vector of subject disease status:
0 stands for healthy subjects; and 1 stands for diseased subjects.
'nx' (number of diseased subjects) and 'ny' (number of healthy subjects)
will be calculated based on 'memSubj'.
Note that in v0.0.1, 'nx' was neither defined nor inputed in 'EM.model'
(3) remove the input 'ny'
(4) add importFrom("stats", "dbeta", "integrate", "pbeta", "rbeta")
to NAMESPACE file.
(5) add row names and column names to the output genotype matrix in
the function 'genotype.data'
(6) add Rd files for 'EM.model' and 'genotype.data'
GWASbyCluster 0.0.1
- (1) create this package to group SNPs to 3 clusters for identifying
SNPs associated with disease status