| stepR-package | Multiscale Change-Point Inference |
| .testSmallScales | Test Small Scales |
| BesselPolynomial | Bessel Polynomials |
| bounds | Bounds based on MRC |
| bounds.MRC | Bounds based on MRC |
| chi | Compute Multiresolution Criterion |
| chi.FFT | Compute Multiresolution Criterion |
| compareBlocks | Compare fit blockwise with ground truth |
| computeBounds | Computation of the bounds |
| computeStat | Computation of the multiscale statistic |
| confband | Confidence intervals for jumps and confidence bands for step functions |
| confband.stepfit | Confidence intervals for jumps and confidence bands for step functions |
| contMC | Continuous time Markov chain |
| critVal | Critical values |
| dfilter | Digital filters |
| family | Family of distributions |
| fitted.stepfit | Fitted step function |
| intervalSystem | Interval systems |
| intervalsystem | Interval systems |
| jsmurf | Reconstruct filtered piecewise constant functions with noise |
| jumpint | Confidence intervals for jumps and confidence bands for step functions |
| jumpint.stepfit | Confidence intervals for jumps and confidence bands for step functions |
| kMRC.pvalue | Compute Multiresolution Criterion |
| kMRC.quant | Compute Multiresolution Criterion |
| kMRC.simul | Compute Multiresolution Criterion |
| length.steppath | Solution path of step-functions |
| lines.confband | Confidence intervals for jumps and confidence bands for step functions |
| lines.stepblock | Step function |
| lines.stepfit | Fitted step function |
| logLik.stepfit | Fitted step function |
| logLik.steppath | Solution path of step-functions |
| monteCarloSimulation | Monte Carlo simulation |
| MRC | Compute Multiresolution Criterion |
| MRC.1000 | Values of the MRC statistic for 1,000 observations (all intervals) |
| MRC.asymptotic | "Asymptotic" values of the MRC statistic (all intervals) |
| MRC.asymptotic.dyadic | "Asymptotic" values of the MRC statistic (dyadic intervals) |
| MRC.FFT | Compute Multiresolution Criterion |
| MRC.pvalue | Compute Multiresolution Criterion |
| MRC.quant | Compute Multiresolution Criterion |
| MRC.simul | Compute Multiresolution Criterion |
| MRCoeff | Compute Multiresolution Criterion |
| MRCoeff.FFT | Compute Multiresolution Criterion |
| neighbors | Neighbouring integers |
| neighbours | Neighbouring integers |
| parametricFamily | Parametric families |
| parametricfamily | Parametric families |
| penalties | Penalties |
| penalty | Penalties |
| plot.stepblock | Step function |
| plot.stepfit | Fitted step function |
| points.jumpint | Confidence intervals for jumps and confidence bands for step functions |
| print.dfilter | Digital filters |
| print.stepblock | Step function |
| print.stepfit | Fitted step function |
| print.steppath | Solution path of step-functions |
| residuals.stepfit | Fitted step function |
| sdrobnorm | Robust standard deviation estimate |
| smuceR | Piecewise constant regression with SMUCE |
| stepblock | Step function |
| stepbound | Jump estimation under restrictions |
| stepbound.default | Jump estimation under restrictions |
| stepbound.stepcand | Jump estimation under restrictions |
| stepcand | Forward selection of candidate jumps |
| stepFit | Piecewise constant multiscale inference |
| stepfit | Fitted step function |
| steppath | Solution path of step-functions |
| steppath.default | Solution path of step-functions |
| steppath.stepcand | Solution path of step-functions |
| stepR | Multiscale Change-Point Inference |
| stepsel | Automatic selection of number of jumps |
| stepsel.AIC | Automatic selection of number of jumps |
| stepsel.BIC | Automatic selection of number of jumps |
| stepsel.MRC | Automatic selection of number of jumps |
| testSmallScales | Test Small Scales |
| thresh.smuceR | Piecewise constant regression with SMUCE |
| transit | TRANSIT algorithm for detecting jumps |
| [.bounds | Bounds based on MRC |
| [.stepblock | Step function |
| [.stepfit | Fitted step function |
| [[.steppath | Solution path of step-functions |