| NOdata |
Ethanol Fuel Data Set |
| normalmixEM |
EM Algorithm for Mixtures of Univariate Normals |
| normalmixEM2comp |
Fast EM Algorithm for 2-Component Mixtures of Univariate Normals |
| normalmixMMlc |
EC-MM Algorithm for Mixtures of Univariate Normals with linear constraints |
| normmix.sim |
Simulate from Mixtures of Normals |
| normmixrm.sim |
Simulate from Multivariate (repeated measures) Mixtures of Normals |
| npEM |
Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements |
| npEMindrep |
Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements |
| npEMindrepbw |
Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements |
| npMSL |
Nonparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements - Maximum Smoothed Likelihood version |
| plot.mixEM |
Various Plots Pertaining to Mixture Models |
| plot.mixMCMC |
Various Plots Pertaining to Mixture Model Output Using MCMC Methods |
| plot.mvnpEM |
Plots of Marginal Density Estimates from the mvnpEM Algorithm Output |
| plot.npEM |
Plot Nonparametric or Semiparametric EM Output |
| plot.spEM |
Plot Nonparametric or Semiparametric EM Output |
| plot.spEMN01 |
Plot mixture pdf for the semiparametric mixture model output by spEMsymlocN01 |
| plotexpRMM |
Plot sequences from the EM algorithm for censored mixture of exponentials |
| plotFDR |
Plot False Discovery Rate (FDR) estimates from output by EM-like strategies |
| plotly_compCDF |
Plot the Component CDF using 'plotly' |
| plotly_ellipse |
Draw Two-Dimensional Ellipse Based on Mean and Covariance using 'plotly' |
| plotly_expRMM |
Plot sequences from the EM algorithm for censored mixture of exponentials using 'plotly' |
| plotly_FDR |
Plot False Discovery Rate (FDR) estimates from output by EM-like strategies using 'plotly' |
| plotly_ise.npEM |
Visualization of Integrated Squared Error for a selected density from npEM output using 'plotly' |
| plotly_mixEM |
Visualization of output of 'mixEM' function using 'plotly' |
| plotly_mixMCMC |
Various Plots Pertaining to Mixture Model Output Using MCMC Methods using 'plotly' |
| plotly_mixturegram |
Mixturegrams |
| plotly_npEM |
Plot Nonparametric or Semiparametric EM Output |
| plotly_seq.npEM |
Plotting sequences of estimates from non- or semiparametric EM-like Algorithm using 'plotly' |
| plotly_spEM |
Plot Nonparametric or Semiparametric EM Output |
| plotly_spEMN01 |
Plot mixture pdf for the semiparametric mixture model output by 'spEMsymlocN01' using 'plotly'. |
| plotly_spRMM |
Plot output from Stochastic EM algorithm for semiparametric scaled mixture of censored data using 'plotly'. |
| plotly_weibullRMM |
Plot sequences from the Stochastic EM algorithm for mixture of Weibull using 'plotly' |
| plotseq.npEM |
Plotting sequences of estimates from non- or semiparametric EM-like Algorithm |
| plotspRMM |
Plot output from Stochastic EM algorithm for semiparametric scaled mixture of censored data |
| plotweibullRMM |
Plot sequences from the Stochastic EM algorithm for mixture of Weibull |
| poisregmixEM |
EM Algorithm for Mixtures of Poisson Regressions |
| post.beta |
Summary of Posterior Regression Coefficients in Mixtures of Random Effects Regressions |
| print.mvnpEM |
Printing of Results from the mvnpEM Algorithm Output |
| print.npEM |
Printing non- and semi-parametric multivariate mixture model fits |
| print.summary.mvnpEM |
Summarizing Fits for Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities |
| print.summary.npEM |
Summarizing non- and semi-parametric multivariate mixture model fits |
| RanEffdata |
Simulated Data from 2-Component Mixture of Regressions with Random Effects |
| regcr |
Add a Confidence Region or Bayesian Credible Region for Regression Lines to a Scatterplot |
| regmixEM |
EM Algorithm for Mixtures of Regressions |
| regmixEM.chgpt |
ECM Algorithm for Mixtures of Regressions with Changepoints |
| regmixEM.lambda |
EM Algorithm for Mixtures of Regressions with Local Lambda Estimates |
| regmixEM.loc |
Iterative Algorithm Using EM Algorithm for Mixtures of Regressions with Local Lambda Estimates |
| regmixEM.mixed |
EM Algorithm for Mixtures of Regressions with Random Effects |
| regmixMH |
Metropolis-Hastings Algorithm for Mixtures of Regressions |
| regmixmodel.sel |
Model Selection in Mixtures of Regressions |
| repnormmixEM |
EM Algorithm for Mixtures of Normals with Repeated Measurements |
| repnormmixmodel.sel |
Model Selection in Mixtures of Normals with Repeated Measures |
| rexpmix |
Simulate from Mixtures of Exponentials |
| rmvnorm |
Simulate from a Multivariate Normal Distribution |
| rmvnormmix |
Simulate from Multivariate (repeated measures) Mixtures of Normals |
| rnormmix |
Simulate from Mixtures of Normals |
| RodFramedata |
Rod and Frame Task Data Set |
| RTdata |
Reaction Time (RT) Data Set |
| RTdata2 |
Reaction Time (RT) Data Set (No. 2) |
| rweibullmix |
Simulate from Mixtures of Weibull distributions |
| segregmixEM |
ECM Algorithm for Mixtures of Regressions with Changepoints |
| spEM |
Semiparametric EM-like Algorithm for Mixtures of Independent Repeated Measurements |
| spEMsymloc |
Semiparametric EM-like Algorithm for univariate symmetric location mixture |
| spEMsymlocN01 |
semiparametric EM-like algorithm for univariate mixture in False Discovery Rate (FDR) estimation |
| spregmix |
EM-like Algorithm for Semiparametric Mixtures of Regressions |
| spRMM_SEM |
Stochastic EM algorithm for semiparametric scaled mixture of censored data |
| summary.mixEM |
Summarizing EM mixture model fits |
| summary.mvnpEM |
Summarizing Fits for Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities |
| summary.npEM |
Summarizing non- and semi-parametric multivariate mixture model fits |
| summary.spRMM |
Summarizing fits from Stochastic EM algorithm for semiparametric scaled mixture of censored data |