| cglasso-package | Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values |
| AIC | Akaike Information Criterion |
| AIC.cglasso | Akaike Information Criterion |
| BIC | Bayesian Information Criterion |
| BIC.cglasso | Bayesian Information Criterion |
| cggm | Post-Hoc Maximum Likelihood Refitting of a Conditional Graphical Lasso |
| cglasso | Conditional Graphical Lasso Estimator |
| coef | Extract Model Coefficients |
| coef.cglasso | Extract Model Coefficients |
| ColMeans | Calculate Column Means and Vars of a "datacggm" Object |
| colNames | Row and Column Names of a "datacggm" Object |
| colNames<- | Row and Column Names of a "datacggm" Object |
| ColVars | Calculate Column Means and Vars of a "datacggm" Object |
| datacggm | Create a Dataset from a Conditional Gaussian Graphical Model with Censored and/or Missing Values |
| dim | Dimensions of a "datacggm" Object |
| dim.datacggm | Dimensions of a "datacggm" Object |
| dimnames | Dimnames of a "datacggm" Object |
| dimnames.datacggm | Dimnames of a "datacggm" Object |
| dimnames<-.datacggm | Dimnames of a "datacggm" Object |
| event | Status Indicator Matrix from a "datacggm" Object |
| Example | Simulated data for the cglasso vignette |
| fitted | Extract Model Fitted Values |
| fitted.cglasso | Extract Model Fitted Values |
| getGraph | Retrieve Graphs from a "cglasso2igraph" Object |
| getMatrix | Retrieve Matrices "Y" and "X" from a "datacggm" Object |
| hist | Histogram for a 'datacggm' Object |
| hist.datacggm | Histogram for a 'datacggm' Object |
| impute | Imputation of Missing and Censored Values |
| is.cglasso2igraph | Is an Object of Class 'cglasso2igraph'? |
| is.datacggm | Is an Object of Class 'datacggm'? |
| lower | Lower and Upper Limits from a "datacggm" Object |
| MKMEP | Megakaryocyte-Erythroid Progenitors |
| MKMEP.Sim | Simulated data for the cglasso vignette |
| MM | The Rule of miRNA in Multiple Myeloma |
| MM.Sim | Simulated data for the cglasso vignette |
| nobs | Extract the Number of Observations/Responses/Predictors from a datacggm Object |
| nobs.datacggm | Extract the Number of Observations/Responses/Predictors from a datacggm Object |
| npred | Extract the Number of Observations/Responses/Predictors from a datacggm Object |
| npred.datacggm | Extract the Number of Observations/Responses/Predictors from a datacggm Object |
| nresp | Extract the Number of Observations/Responses/Predictors from a datacggm Object |
| nresp.datacggm | Extract the Number of Observations/Responses/Predictors from a datacggm Object |
| plot.cggm | Plot Method for a "cggm" Object |
| plot.cglasso | Plot Method for "cglasso" Object |
| plot.cglasso2igraph | Plot Method for a cglasso2igraph Object" |
| plot.GoF | Plot for "GoF" Object |
| predict | Predict Method for cglasso and cggm Fits |
| predict.cggm | Predict Method for cglasso and cggm Fits |
| predict.cglasso | Predict Method for cglasso and cggm Fits |
| QFun | Extract Q-Function |
| qqcnorm | Quantile-Quantile Plots for a 'datacggm' Object |
| rcggm | Simulate Data from a Conditional Gaussian Graphical Model with Censored and/or Missing Values |
| residuals | Extract Model Residuals |
| residuals.cglasso | Extract Model Residuals |
| rowNames | Row and Column Names of a "datacggm" Object |
| rowNames<- | Row and Column Names of a "datacggm" Object |
| select_cglasso | Model Selection for the Conditional Graphical Lasso Estimator |
| ShowStructure | Show Package Structure |
| summary.cglasso | Summarizing cglasso and cggm Fits |
| summary.datacggm | Summarizing Objects of Class "datacggm" |
| to_graph | Create Graphs from cglasso or cggm Objects |
| upper | Lower and Upper Limits from a "datacggm" Object |