![[R logo]](../../../doc/html/logo.jpg){kind=logo}
![[Up]](../../../doc/html/left.jpg){kind=small}
![[Top]](../../../doc/html/up.jpg){kind=small}
| bdde | Density Estimation for Binned Data |
| bfmm | To fit a finite mixture model to binned data. |
| bfmm.data.frame | To fit a finite mixture model to binned data. |
| bfmm.default | To fit a finite mixture model to binned data. |
| bfmm.numeric | To fit a finite mixture model to binned data. |
| bootkde | To compute a bootstrap kernel density estimate |
| bs.W.area | Biasing Functions |
| bs.w.area | Biasing Functions |
| bs.W.invlength | Biasing Functions |
| bs.w.invlength | Biasing Functions |
| bs.W.length | Biasing Functions |
| bs.w.length | Biasing Functions |
| density.mm | To fit a finite mixture model to binned data. |
| dmixnorm | The mixed normal distribution |
| edf | To compute the empirical distribution function. |
| gof | To perform goodness-of-fit test. |
| gof.bde | To perform goodness-of-fit test. |
| gof.default | To perform goodness-of-fit test. |
| gof.em | To perform goodness-of-fit test. |
| gof.test | To perform goodness-of-fit test. |
| hist.bindata | Density Estimation for Binned Data |
| histogram | Draw histogram based on data with rounding errors |
| histospline | Fit smoothed KDE to binned data. |
| lines.bcb | To compute a bootstrap kernel density estimate |
| lines.edf | To compute the empirical distribution function. |
| lines.hist | Draw histogram based on data with rounding errors |
| lines.pcb | To compute the pointwise confidence bands. |
| lprde | Density Estimation for Weighted Data via Non-parametric Regression |
| mediation.test | The Sobel mediation test |
| mle | Compute maximum likelihood estimates |
| pcb | To compute the pointwise confidence bands. |
| pcb.default | To compute the pointwise confidence bands. |
| pcb.edf | To compute the pointwise confidence bands. |
| pcb.hist | To compute the pointwise confidence bands. |
| perm.test | To perform a permutation test to compare two samples/populations. |
| plot.bcb | To compute a bootstrap kernel density estimate |
| plot.bde | Fit smoothed KDE to binned data. |
| plot.edf | To compute the empirical distribution function. |
| plot.hist | Draw histogram based on data with rounding errors |
| plot.nprde | Density Estimation for Weighted Data via Non-parametric Regression |
| plot.pcb | To compute the pointwise confidence bands. |
| pmixnorm | The mixed normal distribution |
| print.bcb | To compute a bootstrap kernel density estimate |
| print.bde | Fit smoothed KDE to binned data. |
| print.bindata | Density Estimation for Binned Data |
| print.edf | To compute the empirical distribution function. |
| print.hist | Draw histogram based on data with rounding errors |
| print.kde | Compute a Binned Kernel Density Estimate for Weighted Data |
| print.mm | To fit a finite mixture model to binned data. |
| print.nprde | Density Estimation for Weighted Data via Non-parametric Regression |
| print.pcb | To compute the pointwise confidence bands. |
| qmixnorm | The mixed normal distribution |
| rmixnorm | The mixed normal distribution |
| smkde | Fit smoothed KDE to binned data. |
| weighting | To weight the data |
| weighting.default | To weight the data |
| wkde | Compute a Binned Kernel Density Estimate for Weighted Data |
| wkde.default | Compute a Binned Kernel Density Estimate for Weighted Data |
| wkde.wtdata | Compute a Binned Kernel Density Estimate for Weighted Data |
| zr | occipitofrontal head circumference data |