find_best_fp1_for_acd: Function to fit univariable FP1 models for acd transformation
In mfp2: Multivariable Fractional Polynomial Models with Extensions
find_best_fp1_for_acd R Documentation
Function to fit univariable FP1 models for acd transformation
Description
To be used in fit_acd().
Usage
find_best_fp1_for_acd(x, y, powers)
Arguments
x
a numeric vector.
y
normal cdf of rank transform of x.
powers
a vector of allowed FP powers. The default value is NULL,
meaning that the set S = (-2, -1, -0.5, 0, 0.5, 1, 2, 3) is used.
Value
The best FP power with smallest deviance and the fitted model.
mfp2 documentation built on Nov. 15, 2023, 1:06 a.m.
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| find_best_fp1_for_acd | R Documentation |
Function to fit univariable FP1 models for acd transformation
Description
To be used in fit_acd().
Usage
find_best_fp1_for_acd(x, y, powers)
Arguments
x |
a numeric vector. |
y |
normal cdf of rank transform of |
powers |
a vector of allowed FP powers. The default value is |
Value
The best FP power with smallest deviance and the fitted model.
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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