All functions
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MFMextra
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MFMextra |
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T1modsmat.fn()
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Generate model matrix of all possible models with maximum specified size |
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abf.fn()
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Joint Approximate Bayes' factors (ABFs) for two case-control studies with shared controls |
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abfT1.fn()
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Approximate Bayes' factors (ABFs) for one case-control study |
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abfcalc.format()
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Approximate Bayes' factors (ABFs) for one case-control study |
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bf.compare.fn()
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Joint Approximate Bayes' factors (ABFs) for two case-control studies with shared controls |
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bf.relations.fn()
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Relationship between multinomial ABFs and logistic ABFs |
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convert.fn()
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Convert genotype calls, as output from hapgen2, to a genotype score matrix |
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gen.fn()
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Convert genotype calls at a SNP to genotype score |
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inv.logit.fn()
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inverse logit function |
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phen.gen.fn()
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Generate case-control data with shared controls for traits 1 and 2 |
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phen.gen.t2null.fn()
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Generate case-control data with shared controls for traits 1 and 2, where trait 2 has no associations in this region |
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snpG
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Simulated genotype scores of 26 SNPs in the IL2RA gene for 100,000 individuals from the same population (CEU) ' ' This dataset was
simulated using hapgen2 (http://mathgen.stats.ox.ac.uk/genetics_software/hapgen/hapgen2.html) and the 1000 Genomes CEU, version 3
reference panel data (ftp://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/20130502/). Code details ' are provided in the MFMextra vignette.
This data is an example of input to the MFMextra functions phen.gen.fn and phen.gen.t2null.fn, which simulate two diseases with a shared
set of controls; phen.gen.t2null.fn simulates no associations with disease 2. |