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Congrui Yi
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standardize argument
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man/ncvreg.Rd

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@@ -10,7 +10,7 @@ ncvreg(X, y, family=c("gaussian", "binomial", "poisson"),
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penalty=c("MCP", "SCAD", "lasso"), gamma=switch(penalty, SCAD=3.7, 3),
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alpha=1, lambda.min=ifelse(n>p,.001,.05), nlambda=100, lambda, eps=.001,
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max.iter=1000, convex=TRUE, dfmax=p+1, penalty.factor=rep(1, ncol(X)),
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warn=TRUE, returnX=FALSE, ...)
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warn=TRUE, returnX=FALSE, standardize=TRUE, ...)
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}
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\arguments{
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\item{X}{The design matrix, without an intercept. \code{ncvreg}
@@ -57,6 +57,7 @@ warn=TRUE, returnX=FALSE, ...)
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saturation? Default is TRUE.}
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\item{returnX}{Return the standardized design matrix? Default is
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FALSE.}
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\item{standardize}{Standardize the design matrix or not before fitting? Default is TRUE.}
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\item{...}{Not used.}
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}
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\details{

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