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warning: template-id not allowed for constructor in C++20.coef to the
plot() method for splines2 objects, allowing
visualization of the fitted spline function with a given coefficient
vector.@docType package documentation.nsk() for natural cubic
spline basis functions following the function
survival::nsk() (introduced in survival
package version 3.2-8).plot() methods to quickly visualize the spline
basis functions.$ method to extract an attribute of the returned
splines2 object.periodic to
bSpline() for periodic B-splines and a new class named
PeriodicBSpline to the Rcpp interface: issue
19.coef to the
predict() methods to compute the responding spline function
and made it possible to obtain the derivatives or update spline basis
functions by passing ... to the update()
methods.trim to
naturalSpline() to set the default boundary knots after
trimming a fraction of observations.warn.outside and a package
option named splines2.warn.outside to specify if a warning
should be thrown out for B-splines, etc. when any x is
placed outside the boundary.bsp() = bSpline()msp() = mSpline()isp() = iSpline()csp() = cSpline()nsp() = naturalSpline()bpoly() = bernsteinPoly()H to the attribution of objects
for natural cubic splines so that users may transform cubic B-splines
(from other software/packages) to the natural cubic splines (returned by
naturalSpline()/nsp() or nsk()).
df to be equidistant if the internal knots
resulting from quantiles are problematic. A warning will be thrown out
in that case.PeriodicMSpline so that a
simple knot sequence can be specified through
set_knot_sequence: issue
18.update() methods to produce new spline basis
functions based on the given object with specified updates in terms of
degree and knots, etc.splines2 to the output
matrices to simplify some common S3 methods.x (by replacing the naive binary search implementation
with std::upper_bound and std::distance).makepredictcall() methods for all available
spline basis functions to help model.frame.default() create
the right matrices when predicting from models with terms such as
bSpline(), etc. Thanks Zheyuan Li for suggesting this
feature.derivs and integal to
bSpline() for consistency with mSpline() and
bernsteinPoly(), etc.predict() method for cSpline
objects when scale = FALSE.BernsteinPoly and
PeriodicMSpline objects to the C++ interface.knots() methods to extract internal knots and
boundary knots from a given splines2 object.length(knots) >= degree to
length(knots) >= degree - 1.naturalSpline() providing implementation
of nonnegative natural cubic splines.periodic to function
mSpline() for periodic M-splines.integral to function
mSpline() for integrals of M-splines or periodic
M-splines.deriv(), predict(), and
print() method for naturalSpline class
object.deriv() method for mSpline
class object for periodic M-splines.bernsteinPoly() providing implementation
of generalized Bernstein polynomials.intercept in
function iSpline() and cSpline() to
TRUE for a complete set of spline basis functions in
shape-restricted regression.iSpline() and cSpline().bSpline().deriv.mSpline() method for third derivatives of
scaled C-splines.df for piecewise
constant basis functions when knots = NULL.deriv.cSpline() method for derivatives of order
greater than two when scale = TRUE.dbs() generating derivative of given
order of B-splines. It is a similar function with
splines::splineDesign(). However, it provides a more
user-friendly interface and more consistent handling on
NA’s.deriv() methods for derivatives of given order of
any existing splines2 object that can be generated
currently.derivs to function
mSpline() and iSpline() for derivatives.bSpline() generating B-spline basis
allowing zero degree or piecewise constant basis based on function
bs() in the splines package.bSpline() to allow M-splines of
degree zero.cSpline() constructing convex spline
(C-spline) basis.predict() methods for bSpline2
object and cSpline object generated by
bSpline() and cSpline(), respectively.print() methods for all splines2
objects developed so far.iSpline() to construct I-spline
basis directly from B-spline basis instead of M-spline basis.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.