A B C D E I K L M N P Q R S T U misc
| as.list.dset | Convert Distribution Sets to Lists |
| auto.cbw | Bandwidth Selection |
| auto.dbw | Bandwidth Selection |
| Bandwidth Selection | Bandwidth Selection |
| BELL.SPLINE | Kernel Objects |
| Bell.Spline-class | Kernel Objects |
| BIWEIGHT.CKERNEL | Kernel Objects |
| Biweight.CKernel-class | Kernel Objects |
| BVMatrix-class | Bivariate Density/etc Matrices |
| CAT | Categorical Models |
| Categorical Distributions | Categorical Models |
| ccdf-class | Kernel Objects |
| ccdfuv-class | Kernel Objects |
| cdf.cat | Succinct Constructors |
| cdf.cks | Succinct Constructors |
| cdf.dks | Succinct Constructors |
| cdf.el | Succinct Constructors |
| cdfc.cat | Categorical Models |
| cdfc.cks | Continuous Kernel Smoothing Models |
| cdfmv.cks | Continuous Kernel Smoothing Models |
| cdfmvc.cks | Continuous Kernel Smoothing Models |
| cdfuv.cat | Categorical Models |
| cdfuv.cks | Continuous Kernel Smoothing Models |
| cdfuv.dks | Discrete Kernel Smoothing Models |
| cdfuv.el | Empirical-Like Models |
| central.moment | Moment-Based Statistics |
| chqf.cks | Continuous Kernel Smoothing Models |
| CKernel-class | Kernel Objects |
| CKS | Continuous Kernel Smoothing Models |
| Conditional Distributions with Mixed Input Types | Conditional Distributions with Mixed Categorical-Continuous Input |
| Continuous Kernel Smoothing | Continuous Kernel Smoothing Models |
| cpd-class | Kernel Objects |
| cpduv-class | Kernel Objects |
| cset | Distribution Sets |
| dcdf-class | Kernel Objects |
| dcdfuv-class | Kernel Objects |
| deciles | Order-Based Summary Statistics |
| Discrete Kernel Smoothing | Discrete Kernel Smoothing Models |
| discretized.kernel | Kernel Objects |
| Distribution Sets | Distribution Sets |
| DKernel-class | Kernel Objects |
| DKS | Discrete Kernel Smoothing Models |
| dpd-class | Kernel Objects |
| dpduv-class | Kernel Objects |
| Empirical-Like Distributions | Empirical-Like Models |
| EPANECHNIKOV.CKERNEL | Kernel Objects |
| Epanechnikov.CKernel-class | Kernel Objects |
| iqr | Robust Statistics |
| is.cat | Is Functions |
| is.ccdf | Is Functions |
| is.ccdfc | Is Functions |
| is.ccdfmv | Is Functions |
| is.ccdfmvc | Is Functions |
| is.ccdfuv | Is Functions |
| is.cchqf | Is Functions |
| is.cks | Is Functions |
| is.cpd | Is Functions |
| is.cpdc | Is Functions |
| is.cpdmv | Is Functions |
| is.cpdmvc | Is Functions |
| is.cpduv | Is Functions |
| is.cqf | Is Functions |
| is.cqfc | Is Functions |
| is.cqfuv | Is Functions |
| is.dcdf | Is Functions |
| is.dcdfc | Is Functions |
| is.dcdfuv | Is Functions |
| is.dks | Is Functions |
| is.dpd | Is Functions |
| is.dpdc | Is Functions |
| is.dpduv | Is Functions |
| is.dqf | Is Functions |
| is.dqfc | Is Functions |
| is.dqfuv | Is Functions |
| is.el | Is Functions |
| is.gmix | Is Functions |
| is.pdf | Is Functions |
| is.pdfc | Is Functions |
| is.pdfmv | Is Functions |
| is.pdfmvc | Is Functions |
| is.pdfuv | Is Functions |
| is.pduv | Is Functions |
| is.phmodel | Is Functions |
| is.phob | Is Functions |
| is.phpd | Is Functions |
| is.phspline | Is Functions |
| is.pmf | Is Functions |
| is.pmfc | Is Functions |
| is.pmfuv | Is Functions |
| is.xmix | Is Functions |
| Kernel-class | Kernel Objects |
| Kernels | Kernel Objects |
| lines.phob | Bridging Functions |
| list.ckernels | Pairwise Kernel Arrays |
| max.cpd | Range and Sequence Functions |
| max.dpd | Range and Sequence Functions |
| min.cpd | Range and Sequence Functions |
| min.dpd | Range and Sequence Functions |
| min1 | Other Functions |
| moment | Moment-Based Statistics |
| names.phob | Bridging Functions |
| ntile.names | Order-Based Summary Statistics |
| ntiles | Order-Based Summary Statistics |
| pdf-class | Kernel Objects |
| pdf.cks | Succinct Constructors |
| pdfc.cks | Continuous Kernel Smoothing Models |
| pdfmv.cks | Continuous Kernel Smoothing Models |
| pdfmvc.cks | Continuous Kernel Smoothing Models |
| pdfuv-class | Kernel Objects |
| pdfuv.cks | Continuous Kernel Smoothing Models |
| pdist | Distance Matrices |
| ph.cFh.rtf | Runtime Function Objects |
| ph.cfh.rtf | Runtime Function Objects |
| ph.cFh.rtf.mv | Runtime Function Objects |
| ph.cfh.rtf.mv | Runtime Function Objects |
| ph.cFht.rtf | Runtime Function Objects |
| ph.chFht.rtf | Runtime Function Objects |
| ph.dFh.rtf | Runtime Function Objects |
| ph.dfh.rtf | Runtime Function Objects |
| ph.dFht.rtf | Runtime Function Objects |
| ph.gFh.rtf | Runtime Function Objects |
| ph.gfh.rtf | Runtime Function Objects |
| ph.gFht.rtf | Runtime Function Objects |
| ph.kurtosis | Moment-Based Statistics |
| ph.linesf | Bridging Functions |
| ph.linesf.cpduv | Model Plot Methods |
| ph.mean | Moment-Based Statistics |
| ph.median | Robust Statistics |
| ph.mode | Mode Estimation |
| ph.modes | Mode Estimation |
| ph.namesf | Bridging Functions |
| ph.namesf.ph4.gset | Names Methods |
| ph.namesf.phmodel | Names Methods |
| ph.plotf | Bridging Functions |
| ph.plotf.catc | Model Plot Methods |
| ph.plotf.catuv | Model Plot Methods |
| ph.plotf.CKernel | Kernel Plot Methods |
| ph.plotf.cksc | Model Plot Methods |
| ph.plotf.cksmv | Model Plot Methods |
| ph.plotf.cksmvc | Model Plot Methods |
| ph.plotf.cksuv | Model Plot Methods |
| ph.plotf.DKernel | Kernel Plot Methods |
| ph.plotf.dksuv | Model Plot Methods |
| ph.plotf.eluv | Model Plot Methods |
| ph.plotf.gmix | Model Plot Methods |
| ph.plotf.ph4.gset | Other Plot Methods |
| ph.plotf.ph4.mset | Other Plot Methods |
| ph.plotf.xmix | Model Plot Methods |
| ph.printf | Bridging Functions |
| ph.printf.dset | Print Methods |
| ph.printf.Kernel | Print Methods |
| ph.printf.phmodel | Print Methods |
| ph.quantile | Robust Statistics |
| ph.sd | Moment-Based Statistics |
| ph.skewness | Moment-Based Statistics |
| ph.var | Moment-Based Statistics |
| ph4.BVMatrix | Bivariate Density/etc Matrices |
| ph4.cdfc.gmix | Conditional Distributions with Mixed Categorical-Continuous Input |
| ph4.cdfc.xmix | Conditional Distributions with Mixed Categorical-Continuous Input |
| ph4.cdfuv.gset.cks | Distribution Sets |
| ph4.cdfuv.gset.el | Distribution Sets |
| ph4.cdfuv.mset.cks | Distribution Sets |
| ph4.cdfuv.mset.el | Distribution Sets |
| ph4.pcomp2 | Distance Matrices |
| ph4.pdfc.xmix | Conditional Distributions with Mixed Categorical-Continuous Input |
| ph4.pdfmv.gset.cks | Distribution Sets |
| ph4.pdfuv.gset.cks | Distribution Sets |
| ph4.pdfuv.mset.cks | Distribution Sets |
| ph4.pmfc.gmix | Conditional Distributions with Mixed Categorical-Continuous Input |
| ph4.qfc.gmix | Conditional Distributions with Mixed Categorical-Continuous Input |
| ph4.qfc.xmix | Conditional Distributions with Mixed Categorical-Continuous Input |
| ph4.qfuv.gset.cks | Distribution Sets |
| ph4.qfuv.gset.el | Distribution Sets |
| ph4.qfuv.mset.cks | Distribution Sets |
| ph4.qfuv.mset.el | Distribution Sets |
| ph4.rdist | Distance Matrices |
| phob-class | Kernel Objects |
| phpd-class | Kernel Objects |
| plot.phob | Bridging Functions |
| plot_cpd | Plots of Continuous Univariate Models |
| plot_cpd_bv | Plots of Continuous Multivariate Models |
| plot_cpd_tv | Plots of Continuous Multivariate Models |
| plot_dpd | Plots of Discrete Univariate Models |
| plot_kernel_array | Pairwise Kernel Arrays |
| pmf-class | Kernel Objects |
| pmf.cat | Succinct Constructors |
| pmf.dks | Succinct Constructors |
| pmfc.cat | Categorical Models |
| pmfuv-class | Kernel Objects |
| pmfuv.cat | Categorical Models |
| pmfuv.dks | Discrete Kernel Smoothing Models |
| prep.ph.data | Other Functions |
| print.phob | Bridging Functions |
| probmv | Multivariate Probabilities |
| psv | Distance Matrices |
| pwith | Multivariate Probabilities |
| pwith.cksmv | Multivariate Probabilities |
| pwith.cksuv | Multivariate Probabilities |
| qf.cat | Succinct Constructors |
| qf.cks | Succinct Constructors |
| qf.dks | Succinct Constructors |
| qf.el | Succinct Constructors |
| qfc.cat | Categorical Models |
| qfc.cks | Continuous Kernel Smoothing Models |
| qfuv.cat | Categorical Models |
| qfuv.cks | Continuous Kernel Smoothing Models |
| qfuv.dks | Discrete Kernel Smoothing Models |
| qfuv.el | Empirical-Like Models |
| quartiles | Order-Based Summary Statistics |
| range.cpd | Range and Sequence Functions |
| range.dpd | Range and Sequence Functions |
| raw.moment | Moment-Based Statistics |
| rng | Random Numbers |
| Runtime Function Objects | Runtime Function Objects |
| seq.cpduv | Range and Sequence Functions |
| seq.dpduv | Range and Sequence Functions |
| set.ph.options | Global Options |
| set.ph.theme | Global Options |
| standardized.moment | Moment-Based Statistics |
| Succinct Constructors | Succinct Constructors |
| TRGAUSSIAN.CKERNEL | Kernel Objects |
| TrGaussian.CKernel-class | Kernel Objects |
| TRIANGULAR.CKERNEL | Kernel Objects |
| Triangular.CKernel-class | Kernel Objects |
| TRICUBE.CKERNEL | Kernel Objects |
| Tricube.CKernel-class | Kernel Objects |
| TRIWEIGHT.CKERNEL | Kernel Objects |
| Triweight.CKernel-class | Kernel Objects |
| UNIFORM.CKERNEL | Kernel Objects |
| Uniform.CKernel-class | Kernel Objects |
| %$% | Temporary/Deprecated Functions |
| %$%<- | Temporary/Deprecated Functions |