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 |