plot.mfp function - RDocumentation
网页This function draws two plots: (i) the linear predictor function and (ii) partial residuals together with a lowess smooth. For Cox models also smoothed martingale based residuals of the null model are plotted against the predictor.
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网页mfp selects the multivariable fractional polynomial (MFP) model that best predicts the outcome variable from the right-hand-side variables in xvarlist. For univariate fractional polynomials, fp can be used to fit a wider range of models than mfp.
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Multivariable Fractional Polynomials - The Comprehensive R …
网页The mfp package is a collection of R (R Core Team 2022) functions targeted at the use of fractional polynomials (FP) for modelling the influence of continuous covariates on the outcome in regression models, as introduced by Royston and Altman (1994) and modified by Sauerbrei and Royston (1999). The model may include binary, categorical or ...
Multivariable regression model building by using fractional …
网页2006年8月1日 · Function plot.mfp draws two specific plots: (i) the linear predictor function, (ii) a plot of the partial residuals together with a lowess smooth. For mfp objects inheriting from coxph smoothed martingale-based residuals of the null model are drawn additionally to support the investigation of the functional form of the linear predictor.
网页Selects the multiple fractional polynomial (MFP) model which best predicts the outcome. The model may be a generalized linear model or a proportional hazards (Cox) model.
Plot response functions from a fitted mfp2 object - search.r …
网页Plot response functions from a fitted mfp2 object Description. Plots the partial linear predictors with confidence limits against the selected covariate(s) of interest. Usage
plot.MFPCAfit function - RDocumentation
网页Plots the eigenfunctions as perturbations of the mean (i.e. the mean function plus/minus a constant factor times each eigenfunction separately). If all elements have a one-dimensional domain, the plots can be combined, otherwise the effects of adding and subtracting are shown in two separate rows for each eigenfunction.</p>
网页2mfp postestimation— Postestimation tools for mfp fracplot and fracpred Description for fracplot and fracpred fracplot plots the data and fit, with 95% confidence limits, from the most recently fit fractional polynomial (FP) model. The data and fit are plotted against varname, which may be xvar 1 or another of the covariates (xvar