reset_acd: Helper to reset acd transformation for variables with few...
In mfp2: Multivariable Fractional Polynomial Models with Extensions
reset_acd R Documentation
Helper to reset acd transformation for variables with few values
Description
To be used in fit_mfp().
This function resets the acdx parameter (logical vector) of variables with
less than 5 distinct values to FALSE.
Usage
reset_acd(x, acdx)
Arguments
x
a design matrix of dimension nobs x nvars where nvars is the number
of predictors excluding an intercept.
acdx
a named logical vector of length nvars indicating which continuous
variables should undergo the approximate cumulative distribution (ACD)
transformation. May be ordered differently than the columns of x.
Value
Logical vector of same length as acdx.
mfp2 documentation built on Nov. 15, 2023, 1:06 a.m.
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| reset_acd | R Documentation |
Helper to reset acd transformation for variables with few values
Description
To be used in fit_mfp().
This function resets the acdx parameter (logical vector) of variables with
less than 5 distinct values to FALSE.
Usage
reset_acd(x, acdx)
Arguments
x |
a design matrix of dimension nobs x nvars where nvars is the number of predictors excluding an intercept. |
acdx |
a named logical vector of length nvars indicating which continuous
variables should undergo the approximate cumulative distribution (ACD)
transformation. May be ordered differently than the columns of |
Value
Logical vector of same length as acdx.
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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