R: Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values

# Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values

## Documentation for package ‘cglasso’ version 2.0.7

- DESCRIPTION file

## Help Pages

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