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Function used to define the smooth term (via P-splines) within the gcrq formula. The function actually does not evaluate a (spline) smooth, but simply it passes relevant information to proper fitter functions.
● Data Source:
CranContrib
● Keywords: regression, smooth
● Alias: ps
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Fits non-crossing regression quantiles as a function of linear covariates and a smooth terms via B-splines with difference penalties.
● Data Source:
CranContrib
● Keywords: models, package, regression
● Alias: quantregGrowth, quantregGrowth-package
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Displaying the estimated growth charts from a gcrq fit.
● Data Source:
CranContrib
● Keywords: nonlinear, regression
● Alias: plot.gcrq
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Estimation of nonparametric growth charts via quantile regression. Quantile curves are estimated via B-splines with a L1 penalty on the spline coefficient differences, and non-crossing and monotonicity restrictions are set to obtain estimates more biologically plausible. Linear terms are allowed in the model specification.
● Data Source:
CranContrib
● Keywords: model, regression, smooth
● Alias: gcrq
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summary and print methods for class gcrq
● Data Source:
CranContrib
● Keywords: nonlinear, regression
● Alias: summary.gcrq
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Printing the most important feautures of a gcrq model.
● Data Source:
CranContrib
● Keywords: models
● Alias: print.gcrq
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Takes a "gcrq" objects and computes fitted values
● Data Source:
CranContrib
● Keywords: nonlinear, regression
● Alias: predictQR
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Returns the variance-covariance matrix of the parameter estimates of a fitted gcrq model object.
● Data Source:
CranContrib
● Keywords: regression
● Alias: vcov.gcrq
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These are internal functions of package quantregGrowth and should be not called by the user.
● Data Source:
CranContrib
● Keywords: nonlinear, regression
● Alias: ncross.rq.fitX, ncross.rq.fitXB
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providing 
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