calculate_standard_error: Helper function to compute standard error of a partial...
In mfp2: Multivariable Fractional Polynomial Models with Extensions
calculate_standard_error R Documentation
Helper function to compute standard error of a partial predictor
Description
To be used in predict.mfp2().
Usage
calculate_standard_error(model, X, xref = NULL)
Arguments
model
fitted mfp2 object.
X
transformed input matrix with variables of interest for partial predictor.
xref
transformed reference value for variable of interest. Default is
NULL, in which case this function computes standard errors without reference
values.
Details
See pages 91-92 and following in the book by Royston and Sauerbrei 2008
for the formulas and mathematical details.
Value
Standard error.
References
Royston, P. and Sauerbrei, W., 2008. Multivariable Model - Building:
A Pragmatic Approach to Regression Anaylsis based on Fractional Polynomials
for Modelling Continuous Variables. John Wiley & Sons.
mfp2 documentation built on Nov. 15, 2023, 1:06 a.m.
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| calculate_standard_error | R Documentation |
Helper function to compute standard error of a partial predictor
Description
To be used in predict.mfp2().
Usage
calculate_standard_error(model, X, xref = NULL)
Arguments
model |
fitted |
X |
transformed input matrix with variables of interest for partial predictor. |
xref |
transformed reference value for variable of interest. Default is
|
Details
See pages 91-92 and following in the book by Royston and Sauerbrei 2008 for the formulas and mathematical details.
Value
Standard error.
References
Royston, P. and Sauerbrei, W., 2008. Multivariable Model - Building:
A Pragmatic Approach to Regression Anaylsis based on Fractional Polynomials
for Modelling Continuous Variables. John Wiley & Sons.
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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