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cpr
’s progress
argument has been extended to control if a progress bar is used for just the cpr steps, or if a more detailed progress for of the influence weight calculations is reported.
influence_of_iknots
gains parallel execution via pbapply
(#17)
plot.cpr_cp
gains the argument comparitive
which, when set to FALSE
and only one cpr_cp
is passed in for plotting, the graphic will appear more like the plot.cpr_bs
results. When comparitive = TRUE
or more than one cpr_cp
is present, the behavior from v0.3.0 is retained.
cp.formula
gains the methods.args
argument to pass arguments to the regression method instead of relying on ...
.
d_order_statistic
and p_order_statistic
were added. These functions allow you to get the density of distribution function for the jth order statistic from a sample of size n from a distribution with defined density and distribution functions within R.
sign_changes
will count the number of sign changes of the first or second derivative of a spline function.
get_spline
returns standard errors and derivatives (#60)
loglikelihood
is not exported in the namespacesummary.cpr_cp
now calculates the “wiggle” of the function by default, that is, changes the default from wiggle = FALSE
to wiggle = TRUE
cp
and cn
both have the default keep_fit
argument set to TRUE. This change was made to simplify the prediction methods.print.cpr_bt
returns the object invisibly, it used to return a str(x)
.print.cpr_cn
returns the object invisiblyprint.cpr_cnr
returns the object invisiblyprint.cpr_cpr
returns the object invisiblyRefactor of c++ defining basis functions, derivatives of basis functions, b-splines structures
cp.formula
checks the formula
and requires that bsplines
is used once and is the first term on the right hand side of the formula.
help(cpr-defunct)
for details.cpr
has examplesImports
to Suggests
(re #36)ggplot2::aes_string
First public release.
plot.cpr_cn
supports rgl
and plot3D
graphicsget_spline
is an S3 method for getting a data.frame
of interpolated values of a spline given a cpr_cp
object. Later development will add methods for cpr_cn
objects.predict.cpr_cp
and predict.cpr_cn
methods addedmatrix_rank
addedupdate_bsplines
and update_btensor
methods added (#27)Documentation improvements.
influence_of
and plot.cpr_influence_of
provide a clean interface for users to explore the influence of a set of knots on a spline function. (#19)color
(TRUE
/FALSE
) option added to plot.cpr_bs
.plot.cpr_cn
lets the user plot 2D surfaces for tensor product surfaces. The plots are for the whole surface if the input is a 2D tensor product, and is a 2D slice evaluated at a given value for other margins for 3+ dimensional tensor products.is.
a collection of is.cpr_cp
, is.cpr_bs
, … functions added.spdg
has been added to the package.build_tensor
definitionThis version has a fairly polished set of tools for b-splines, cpr, and cnr. This version seems to be in a good place for use in the three major papers
Continued development should be focused on bug fixes and minor enhancements.
cnr
(#8)cnr
(#10)show_xi
to cpr:::plot.cp
and using ggplot2::geom_rug
to show the location of the knots for each of the control polygons plotted.summary
for cpr_cn
and cpr_cnr
objects added.plot
method for cpr_cnr
objects.margin
option in cnr
allows the user to specify which marginals CNR will be applied to.sec.axis
option from ggplot2_2.2.0
for the plotting of the knot sequence and numeric values in plot.cpr_bs
(#18)from
and to
arguments for plot.cpr_cpr
fixed (#14)iknots
argument in btensor
keep
is correctly handled in the cnr
call.show_xi
correctly handled in the plot.cpr_cp
call.knot_expr
created to help with plotting the knot locations in cpr:::plot.cpr_bs
.plot.cpr_cp
allows the user to suppress the plotting of the control polygon. When plotting multiple control polygons and splines, this option will make it easier to view the spline functions.First version of univariable cpr methods ready for deployment
cpr::cp
and cpr::cpr
have been used for the simulations which are aimed to be part of the first manuscript. Modifications might be needed, but hopefully the univariable methods are stable.
A lot of changes in the implementation and API have occurred from the 0.0.x series. The aim for version 0.2.0 will be to have a very similar API for cpr::cn
and cpr::cnr
as provided for the cpr::cp
and cpr::cpr
calls.
bsplineD
bsplines
generate_cp_data
deboor.cpp
file so that the bsplines
are accessible. The prior design only allowed access to the basis, the current design allows access to the generic B-splines.Version 0.0.3 is the version of the package used to run the analysis and simulations presented in the paper submitted to the 28th International Biometrics Conference, Western North American Region (WNAR) of the Internal Biometric Society, Student paper competition. The conference will be held 10 - 16 July 2016 in Victoria, British Columbia, Canada.
Corrected the attributes calls within cpr
after adjusting the attributes being set on a cpr_cp
.
plot.cpr_bs
correctly displays the indices for the knot sequence.
boehem.cpp
are cleaner.plot.cpr_cpr
allows user to select either control polygons or sums of squared residuals to be plotted.greville_sites
removed.tensor
for building tensor products of cpr::bsplines
.influence_weights
to get the influence weights for each internal knot on each marginal of a tensor product.is.cpr_bs
added.cp
use_unique
option correctlycp()
and cpr()
First usable version with the method based on the ‘importance weight’ of internal knots based on reversing the methods presented by Boehm (1980). Development of metrics and methods for parsing out the preferable models.
Version 0.0.1.9003 was the first stable version for fitting the exact data model.
This version was based on the idea that using an angle to reduce the control polygon was a good idea. Further literature review and simulations showed otherwise. This version is marked for posterity and the cpp functions are going to be useful in the following versions as well.
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.
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