asggminternal {AdaptiveSparsity}  R Documentation 
These are the fitting and initialization functions used by asggm. These should generally not be used directly.
rCSL(x, iterations = 500, init = NULL, epsilon = 1e05, ansL = NULL)
genL(kNodes, spP)
genData(L, nSamples)
x 
design matrix 
iterations 
number of iterations of the algorithm to run. 
init 
optional initialization, for instance, the cholesky of 
epsilon 
amount to add for numerical stability. 
ansL 

kNodes 

spP 

L 
L created by genL 
nSamples 
number of samples. 
rCSL calls the C++ code to compute the Wong EM algorithm. genL and genData are used together to create example data.
rCSL returns a list with the following components:
Wong, Eleanor, Suyash Awate, and P. Thomas Fletcher. “Adaptive Sparsity in Gaussian Graphical Models.”In Proceedings of the 30th International Conference on Machine Learning (ICML13), pp. 311319. 2013.
asggm
, which should be used directly instead of these methods