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 |