# Practical Smoothing with P-Splines

## Documentation for package ‘JOPS’ version 0.1.19

- DESCRIPTION file.

## Help Pages

JOPS-package | Joys of P-Splines
bbase | Compute a B-spline basis matrix
binit | Translated number vector to bin index.
bone_data | Spinal bone relative mineral density
cbase | Compute a circular B-spline basis matrix
cdiff | Compute a second order circular differencing matrix
CGHsim | Simulation of CGH data
clone_base | Clone a B-spline basis for new x
Complaints | Environmental complaints from the Rijnomond area of The Netherlands
count2d | Create a matrix of counts.
dev_calc | Deviance calculation for GLM P-spline fitting.
Disks | Prices of hard disk drives
ECG | A section of an ECG (electrocardiogram)
fitampl | Fit amplitude coeffcients in the bundle model for expectiles
fitasy | Fit asymmetry parameters in the expectile bundle model
G519C18 | Chromosome G519C18 data
Greece_deaths | Deaths in Greece in 1960.
Hepatitis | Prevalence of Hepatitis among a sample of Bulgarian males.
hist2d | Compute a 2D histogram
hist2dsm | Smooth a 2D histogram
indiumoxide | An X-ray diffractogram.
inverse_link | Inverse link function, used for GLM fitting.
JOPS | Joys of P-Splines
JOPS_colors | Custom color ramp.
JOPS_point | Themeing functions used to unify ggplot features
JOPS_theme | Custom theme for ggplot
LAPS_dens | Bayesian density estimation
Mixture | Mixture Data
ova | Ovarian cancer data
pclm | Fit a composite link model
plot.ps2dglm | Plotting function for 'ps2DGLM'
plot.ps2dnormal | Plotting function for 'ps2DNormal'
plot.ps2dsignal | Plotting function for 'ps2DSignal'
plot.pspfit | Plotting function for 'psNormal', 'psPoisson', 'psBinomial'
plot.pssignal | Plotting function for 'psSignal'
plot.psvcsignal | Plotting function for 'psVCSignal'
plot.simpsr | Plotting function for 'sim_psr'
plot.simvcpsr | Plotting function for 'sim_vcpsr'
predict.ps2dglm | Predict function for 'ps2DGLM'
predict.ps2dnormal | Predict function for 'ps2DNormal'
predict.ps2dsignal | Predict function for 'ps2DSignal'
predict.pspfit | Predict function for 'psNormal', 'psBinomial', 'psPoisson'
predict.pssignal | Predict function for 'psSignal'
predict.psvcsignal | Predict function for 'psVCSignal'
predict.simpsr | Predict function for 'sim_psr'
predict.simvcpsr | Predict function for 'sim_vcpsr'
ps2DGLM | Two-dimensional smoothing of scattered normal or non-normal (GLM) responses using tensor product P-splines.
ps2DNormal | Two-dimensional smoothing scattered (normal) data using P-splines.
ps2DSignal | Two-dimensional penalized signal regression using P-splines.
ps2D_PartialDeriv | Partial derivative two-dimensional smoothing scattered (normal) data using P-splines.
psBinomial | Smoothing scattered binomial data using P-splines.
psNormal | Smoothing scattered (normal) data using P-splines.
psNormal_Deriv | Derivative for a P-spline fit of scattered (normal) data.
pspline2d_checker | P-spline 2D tensor product checking algorithm for the GLM.
pspline_checker | P-spline checking algorithm for the GLM.
pspline_fitter | P-spline fitting algorithm for the GLM.
psPoisson | Smoothing scattered Poisson data using P-splines.
psSignal | Smooth signal (multivariate calibration) regression using P-splines.
psVCSignal | Varying-coefficient penalized signal regression using P-splines.
rdw | Observations on the widths of red blood cell distributions (RDW).
rowtens | Compute the row tensor product of two matrices
save_PDF | Save a plot as a PDF file.
set_panels | Prepare graphics layout for multiple panels
set_window | Open a graphics window.
sim_psr | Single-Index signal regression using P-splines
sim_vcpsr | Varying-coefficient single-index signal regression using tensor P-splines.
SpATS.nogeno | Two-dimensional P-spline smoothing
spbase | Compute a sparse B-spline basis on evenly spaced knots
Sugar | Sugar Processing Data
Suicide | Suicide Data Set
tpower | Compute a truncated power function.
Varstar | Brightness of a variable star.
Woodsurf | Profile of a sanded piece of wood.