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| bdata | Data binning. |
| 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. |
| binning | Data binning. |
| birth | Birth data |
| bootkde | To compute a bootstrap kernel density estimate |
| density.mm | To fit a finite mixture model to binned data. |
| dmixnorm | The mixed normal distribution |
| dsimpson | The simpson (claw) distribution. |
| edf | To compute the empirical distribution function. |
| getbdata | Birth data anaylysis. |
| 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.bdata | Data binning. |
| histo | 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.hist | Draw histogram based on data with rounding errors |
| lines.pcb | To compute the pointwise confidence bands. |
| mediation.test | The Sobel mediation test |
| mle.gamma | Compute the MLEs of a gamma distribution. |
| mle.weibull | Compute the MLEs of a weibull distribution. |
| ofc | occipitofrontal head circumference data |
| pcb | To compute the pointwise confidence bands. |
| perm | To perform a permutation test to compare two samples/populations. |
| perm.default | To perform a permutation test to compare two samples/populations. |
| 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.pcb | To compute the pointwise confidence bands. |
| pmixnorm | The mixed normal distribution |
| print.bcb | To compute a bootstrap kernel density estimate |
| print.bdata | Data binning. |
| print.bde | Fit smoothed KDE to binned data. |
| print.edf | To compute the empirical distribution function. |
| print.hist | Draw histogram based on data with rounding errors |
| print.mm | To fit a finite mixture model to binned data. |
| print.pcb | To compute the pointwise confidence bands. |
| qmixnorm | The mixed normal distribution |
| rmixnorm | The mixed normal distribution |
| rsimpson | The simpson (claw) distribution. |
| smkde | Fit smoothed KDE to binned data. |