R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 6 of 6 found.
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singlesnpMeta (Package: skatMeta) :

Takes as input 'skatCohort' objects (from the skatCohort function), and meta analyzes them.

● Data Source: CranContrib
● Keywords:
● Alias: singlesnpMeta
● 0 images

burdenMeta (Package: skatMeta) :

Takes as input 'skatCohort' objects (from the skatCohort function), and meta-analyzes the corresponding burden test.

● Data Source: CranContrib
● Keywords:
● Alias: burdenMeta
● 0 images

skatOMeta (Package: skatMeta) :

Takes as input 'skatCohort' objects (from e.g. skatCohort), and meta analyzes them, using SKAT-O. See the package vignette for more extensive documentation.

● Data Source: CranContrib
● Keywords:
● Alias: skatOMeta
● 0 images

skatMeta (Package: skatMeta) :

Takes as input 'skatCohort' objects (from e.g. skatCohort), and meta analyzes them.

● Data Source: CranContrib
● Keywords:
● Alias: skatMeta
● 0 images

skatCohortAdj (Package: skatMeta) :

This function works exactly as skatCohort, but with the additional argument ‘adjustments’ specifying genes for which conditional analyses are desired, and which SNPs to condition on.

● Data Source: CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: skatCohortAdj, skatFamCohortAdj
● 0 images

skatCohort (Package: skatMeta) :

This function computes and organizes the neccesary output to efficiently meta-analyze a linear model SKAT and other tests. Note that the SKAT test is *not* computed by these functions. The output must be passed to one of skatMeta, burdenMeta, or singlesnpMeta.

● Data Source: CranContrib
● Keywords:
● Alias: skatCohort, skatCoxCohort, skatFamCohort
● 0 images