| max_lambda {discretecdAlgorithm} | R Documentation |
A method to calculate the value of maximum lambda along a solution path. See paper Gu et al. (2016) chapter 3.4 for more detail.
max_lambda(indata, weights = NULL, weight.scale = 1, upperbound = 100)
indata |
A sparsebnData object |
weights |
Weight matrix |
weight.scale |
A postitive number to scale weight matrix. |
upperbound |
A large positive value used to truncate the adaptive weights. A -1 value indicates that there is no truncation. |
The maximum lambda along the solution path.
## Not run: ### Generate some random data dat <- matrix(rbinom(200, size = 3, prob = 0.4), nrow = 20) # for observational data dat <- sparsebnUtils::sparsebnData(dat, type = "discrete") # generate the maximum lambda max_lambda(indata = dat) ## End(Not run)