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B C D E F G H L M N O P Q R S Z
| bda-package | Binned Data Analysis |
| BCUSUM | Cumulative Sum Control Chart. |
| bcusum | Cumulative Sum Control Chart. |
| bde | Density Estimation for Binned Data |
| bde.bdata | Density Estimation for Binned Data |
| bde.default | Density Estimation for Binned Data |
| bde.histogram | Density Estimation for Binned Data |
| bin.NGS | Bin NGS data |
| binning | Data Binning |
| binning.default | Data Binning |
| binning.histogram | Data Binning |
| CCUSUM | Cumulative Sum Control Chart. |
| ccusum | Cumulative Sum Control Chart. |
| cdf.NGS.nmix | Fit a Normal Mixture Model to binned NGS data |
| cdf.nmix | Fit a Normal Mixture Model to binned data |
| compare | Compare two or more samples |
| compare.data.frame | Compare two or more samples |
| compare.default | Compare two or more samples |
| compare.matrix | Compare two or more samples |
| cusum | Cumulative Sum Control Chart. |
| cusum.default | Cumulative Sum Control Chart. |
| Dagum | The Dagum Distribution |
| ddagum | The Dagum Distribution |
| deg.NGS | A test of DEG detection |
| dewd | The Exponentiated Weibull Distribution |
| dgbeta | Generalized Beta Distribution |
| dgld | The mixed normal distribution |
| dgwd | The Exponentiated Weibull Distribution |
| dlap | The Laplace (Double Exponential) Distribution |
| dmixnorm | The mixed normal distribution |
| eda | Exploratory Data Analysis (EDA) |
| eda.data.frame | Exploratory Data Analysis (EDA) |
| eda.default | Exploratory Data Analysis (EDA) |
| eda.matrix | Exploratory Data Analysis (EDA) |
| ewd | The Exponentiated Weibull Distribution |
| fit.Dagum | The Dagum Distribution |
| fit.GB | Fitting GB |
| fit.GLD | Fitting FMKL GLD |
| fit.GLD.FMKL | Fitting FMKL GLD |
| fit.lognormal | Fit a log-normal distribution to (binned) NGS data |
| fit.mixnorm | Fit a Normal Mixture Model to binned data |
| fit.mixnorm.bdata | Fit a Normal Mixture Model to binned data |
| fit.mixnorm.default | Fit a Normal Mixture Model to binned data |
| fit.mixnorm.histogram | Fit a Normal Mixture Model to binned data |
| fit.NGS | Fit a Normal Mixture Model to binned NGS data |
| fit.nmix.copula | Fit a Bivariate Copula Based on Normal Mixture Model for NGS data |
| fit.Weibull | Two-parameter Weibull Distribution Maximum Likelihood Estimation |
| fit.Weibull.bdata | Two-parameter Weibull Distribution Maximum Likelihood Estimation |
| fit.Weibull.default | Two-parameter Weibull Distribution Maximum Likelihood Estimation |
| fit.Weibull.histogram | Two-parameter Weibull Distribution Maximum Likelihood Estimation |
| fitlap | The Laplace (Double Exponential) Distribution |
| fmkl | The mixed normal distribution |
| GB | Generalized Beta Distribution |
| gld | The mixed normal distribution |
| gof | Goodness of fit test |
| gof.bdata | Goodness of fit test |
| gof.default | Goodness of fit test |
| gof.FMKL | Goodness of fit test |
| gof.GB | Goodness of fit test |
| gof.histogram | Goodness of fit test |
| gwd | The Exponentiated Weibull Distribution |
| hhi | Mobile 2010 Household income |
| ld50.logit | Predict Doses for Binomial Assay model (using counts) |
| ld50.logitfit | Predict Doses for Binomial Assay model (using counts) |
| lines.Dagum | The Dagum Distribution |
| lines.FMKL | Fitting FMKL GLD |
| lines.GB | Fitting GB |
| lines.GWD | Two-parameter Weibull Distribution Maximum Likelihood Estimation |
| lines.histosmooth | Density Estimation for Binned Data |
| lines.ld50 | Predict Doses for Binomial Assay model (using counts) |
| lines.MetaMeans | Test Equal Means |
| lines.NGS.nmix | Fit a Normal Mixture Model to binned NGS data |
| lines.nmix | Fit a Normal Mixture Model to binned data |
| lines.smooth | non-parametric regression |
| lps.variance | compute the variance of the local polynomial regression function |
| lpsmooth | non-parametric regression |
| lpsmooth.bdata | non-parametric regression |
| lpsmooth.default | non-parametric regression |
| lpsmooth.histogram | non-parametric regression |
| mediation.test | The Sobel mediation test |
| metamean.test | Test Equal Means |
| normalize.NGS | To normalize a NGS profile using the mixture model method |
| oddsratio | Odds Ratio and Relative Risk |
| oddsratio.data.frame | Odds Ratio and Relative Risk |
| oddsratio.default | Odds Ratio and Relative Risk |
| oddsratio.matrix | Odds Ratio and Relative Risk |
| ofc | occipitofrontal head circumference data |
| pdagum | The Dagum Distribution |
| pdf.NGS.nmix | Fit a Normal Mixture Model to binned NGS data |
| pdf.nmix | Fit a Normal Mixture Model to binned data |
| perm.test.NGS | A permutation test for DEG detection |
| pewd | The Exponentiated Weibull Distribution |
| pgbeta | Generalized Beta Distribution |
| pgld | The mixed normal distribution |
| pgwd | The Exponentiated Weibull Distribution |
| plap | The Laplace (Double Exponential) Distribution |
| plot.BCUSUM | Cumulative Sum Control Chart. |
| plot.bdata | Data Binning |
| plot.broc | Receiver operating characteristic (ROC) |
| plot.CCUSUM | Cumulative Sum Control Chart. |
| plot.Dagum | The Dagum Distribution |
| plot.desc | Exploratory Data Analysis (EDA) |
| plot.FMKL | Fitting FMKL GLD |
| plot.GB | Fitting GB |
| plot.GWD | Two-parameter Weibull Distribution Maximum Likelihood Estimation |
| plot.histosmooth | Density Estimation for Binned Data |
| plot.ld50 | Predict Doses for Binomial Assay model (using counts) |
| plot.MetaMeans | Test Equal Means |
| plot.NGS.hist | Bin NGS data |
| plot.NGS.lognormal | Fit a log-normal distribution to (binned) NGS data |
| plot.NGS.nmix | Fit a Normal Mixture Model to binned NGS data |
| plot.NGS.nmix.copula | Fit a Bivariate Copula Based on Normal Mixture Model for NGS data |
| plot.NGS.test | A test of DEG detection |
| plot.nmix | Fit a Normal Mixture Model to binned data |
| plot.smooth | non-parametric regression |
| pmixnorm | The mixed normal distribution |
| ppower | Compute the power of an ANOVA-type test for proportions |
| print.BCUSUM | Cumulative Sum Control Chart. |
| print.BD | occipitofrontal head circumference data |
| print.bdata | Data Binning |
| print.broc | Receiver operating characteristic (ROC) |
| print.CCUSUM | Cumulative Sum Control Chart. |
| print.comp | Compare two or more samples |
| print.Dagum | The Dagum Distribution |
| print.desc | Exploratory Data Analysis (EDA) |
| print.FMKL | Fitting FMKL GLD |
| print.GB | Fitting GB |
| print.GWD | Two-parameter Weibull Distribution Maximum Likelihood Estimation |
| print.histosmooth | Density Estimation for Binned Data |
| print.ld50 | Predict Doses for Binomial Assay model (using counts) |
| print.MetaMeans | Test Equal Means |
| print.NGS.hist | Bin NGS data |
| print.NGS.lognormal | Fit a log-normal distribution to (binned) NGS data |
| print.NGS.nmix | Fit a Normal Mixture Model to binned NGS data |
| print.NGS.nmix.copula | Fit a Bivariate Copula Based on Normal Mixture Model for NGS data |
| print.NGS.test | A test of DEG detection |
| print.nmix | Fit a Normal Mixture Model to binned data |
| print.odds | Odds Ratio and Relative Risk |
| print.smooth | non-parametric regression |
| qdagum | The Dagum Distribution |
| qewd | The Exponentiated Weibull Distribution |
| qgbeta | Generalized Beta Distribution |
| qgld | The mixed normal distribution |
| qgwd | The Exponentiated Weibull Distribution |
| qlap | The Laplace (Double Exponential) Distribution |
| qmixnorm | The mixed normal distribution |
| quantile.bdata | Data Binning |
| Restart | Cumulative Sum Control Chart. |
| Restart.CCUSUM | Cumulative Sum Control Chart. |
| Restart.default | Cumulative Sum Control Chart. |
| rgbeta | Generalized Beta Distribution |
| rgld | The mixed normal distribution |
| rgwd | The Exponentiated Weibull Distribution |
| rlap | The Laplace (Double Exponential) Distribution |
| rmixnorm | The mixed normal distribution |
| robot | Robot surgery. |
| roc | Receiver operating characteristic (ROC) |
| summary.NGS.nmix | Fit a Normal Mixture Model to binned NGS data |
| zr | occipitofrontal head circumference data |