|
Plot the optimal graph by model selection
● Data Source:
CranContrib
● Keywords:
● Alias: plot.select
●
0 images
|
huge-internal
(Package: huge) :
Internal huge functions
Internal huge functions
● Data Source:
CranContrib
● Keywords:
● Alias: huge.ct, huge.glasso, huge.mb
●
0 images
|
|
Print the information about true positive rates, false positive rates, the area under curve and maximum F1 score
● Data Source:
CranContrib
● Keywords:
● Alias: print.roc
●
0 images
|
|
Implements the graph visualization using adjacency matrix. It can automatic organize 2D embedding layout.
● Data Source:
CranContrib
● Keywords:
● Alias: huge.plot
●
0 images
|
|
Print the information about the sample size, the dimension, the pattern and sparsity of the true graph strcture.
● Data Source:
CranContrib
● Keywords:
● Alias: print.sim
●
0 images
|
Plot the ROC curve for an object with S3 class "roc"
● Data Source:
CranContrib
● Keywords:
● Alias: plot.roc
●
0 images
|
|
Plot sparsity level information and 3 typical sparse graphs from the graph path
● Data Source:
CranContrib
● Keywords:
● Alias: plot.huge
●
0 images
|
|
A package for high-dimensional undirected graph estimation
● Data Source:
CranContrib
● Keywords:
● Alias: huge-package
●
0 images
|
Implements the data generation from multivariate normal distributions with different graph structures, including "random", "hub", "cluster", "band" and "scale-free".
● Data Source:
CranContrib
● Keywords:
● Alias: huge.generator
●
0 images
|
|
Print the information about the model usage, the graph path length, graph dimension, sparsity level
● Data Source:
CranContrib
● Keywords:
● Alias: print.huge
●
0 images
|
providing 
.