SPACox.one.SNP: SaddlePoint Approximation implementation of Cox regression...
In WenjianBI/SPACox: SaddlePoint Approximation implementation of survival analysis
Description
Usage
Arguments
Value
Description
One-SNP-version SPACox function. This function is to facilitate users that prefer reading and analyzing genotype line-by-line.
Usage
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SPACox.one.SNP(
g,
obj.null,
Cutoff = 2,
impute.method = "fixed",
missing.cutoff = 0.15,
min.maf = 1e-04,
CovAdj.cutoff = 5e-05,
G.model = "Add"
)
Arguments
g
a numeric genotype vector. Missing genotype should be coded as NA. Both hard-called and imputed genotype data are supported.
others
the same as function SPACox. NOTE that we do not check subject order in this one-snp-version !!!
Value
the same as function SPACox.
WenjianBI/SPACox documentation built on March 5, 2021, 7:23 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
One-SNP-version SPACox function. This function is to facilitate users that prefer reading and analyzing genotype line-by-line.
Usage
1 2 3 4 5 6 7 8 9 10 | SPACox.one.SNP(
g,
obj.null,
Cutoff = 2,
impute.method = "fixed",
missing.cutoff = 0.15,
min.maf = 1e-04,
CovAdj.cutoff = 5e-05,
G.model = "Add"
)
|
Arguments
g |
a numeric genotype vector. Missing genotype should be coded as NA. Both hard-called and imputed genotype data are supported. |
others |
the same as function SPACox. NOTE that we do not check subject order in this one-snp-version !!! |
Value
the same as function SPACox.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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