Version: 0.1.7 Date: 2019-10-11 Text: (1) directly use limma instead of iCheck Version: 0.1.5 Text: (1) changed format of DOI Version: 0.1.3 Text: (1) corrected an error in CITATION file Version: 0.1.2 Text: (1) Revised DESCRIPTION file, and added CITATION file Version: 0.1.0 Category: choose which method he/she would like to use to determine SNP cluster membership Text: Version: 0.0.9 Text: (1) exclude functions due to long running time estMemSNPs.piAB.oneSetHyperPara and estMemSNPs.piAB Version: 0.0.8 Text: (1) use limma Version: 0.0.7 Text: (1) remove 'estMemSNPsDiffPriors' and 'estMemSNPsDiffPriors.piAB' Version: 0.0.6 Text: (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 Version: 0.0.5 Text: (1) add default data (2) rename 'simFunc.3cat' to ' simGenoFunc' (3) rename 'simFunc.3cat2' to ' simGenoFuncDiffPriors' (4) add details for Rd files Version: 0.0.4 Text: (1) add Rd files Version: 0.0.3 Text: (1) add functions 'estMemSNPs', 'estMemSNPs.piAB', 'estMemSNPs2', and 'estMemSNPs2.piAB' Version: 0.0.2 Text: (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' Version: 0.0.1 Text: (1) create this package to group SNPs to 3 clusters for identifying SNPs associated with disease status