stepwiseqtl.int: stepwise qtl analysis forcing an interactive covariate
In jtlovell/qtlTools: Data Processing and Plotting in Association with R/qtl
Description
stepwiseqtl.int see qtl::stepwiseqtl for details
Usage
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stepwiseqtl.int(cross, chr, pheno.col = 1, qtl, formula, max.qtl = 10,
covar = NULL, method = c("imp", "hk"), model = c("normal",
"binary"), incl.markers = TRUE, refine.locations = TRUE,
additive.only = FALSE, scan.pairs = FALSE, penalties,
keeplodprofile = TRUE, keeptrace = FALSE, verbose = TRUE,
tol = 1e-04, maxit = 1000, require.fullrank = FALSE)
jtlovell/qtlTools documentation built on May 20, 2019, 3:14 a.m.
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Description
stepwiseqtl.int see qtl::stepwiseqtl for details
Usage
1 2 3 4 5 6 | stepwiseqtl.int(cross, chr, pheno.col = 1, qtl, formula, max.qtl = 10,
covar = NULL, method = c("imp", "hk"), model = c("normal",
"binary"), incl.markers = TRUE, refine.locations = TRUE,
additive.only = FALSE, scan.pairs = FALSE, penalties,
keeplodprofile = TRUE, keeptrace = FALSE, verbose = TRUE,
tol = 1e-04, maxit = 1000, require.fullrank = FALSE)
|
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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