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EdwinKipruto committed Nov 9, 2023
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Description: Algorithm to select variables and functional forms through
fractional polynomials in regression models (Generalized linear models
and Cox). This package also
implements various extensions of the original algorithm (sigmoid functional
forms) and provides estimation and visualisation of non-linear effects.
A key reference is the book by Royston and Sauerbrei, 2008.
Multivariable Model - Building: A Pragmatic Approach to Regression Analysis
based on Fractional Polynomials for Modelling Continuous Variables.
John Wiley & Sons.
and Cox). In addition, it has the ability to model a sigmoid relationship
between x and an outcome variable y using the ACD transformation proposed
by Royston in 2014.
License: GPL-3 + file LICENSE
URL: https://github.com/EdwinKipruto/mfp2
BugReports: https://github.com/EdwinKipruto/mfp2/issues
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