summary.clogitL1 {clogitL1} | R Documentation |
Takes a clogitL1
object and produces a summary of the sequence of models fitted.
## S3 method for class 'clogitL1' summary(object, ...)
object |
an object of type |
... |
any additional arguments passed to |
Returns a list with a elements Coefficients
, which holds the matrix of coefficients estimated (each row holding the estimates for a given value of the smoothing parameter) and Lambda
, which holds the vector of smoothing parameters at which fits were produced.
http://www.jstatsoft.org/v58/i12/
set.seed(145) # data parameters K = 10 # number of strata n = 5 # number in strata m = 2 # cases per stratum p = 20 # predictors # generate data y = rep(c(rep(1, m), rep(0, n-m)), K) X = matrix (rnorm(K*n*p, 0, 1), ncol = p) # pure noise strata = sort(rep(1:K, n)) par(mfrow = c(1,2)) # fit the conditional logistic model clObj = clogitL1(y=y, x=X, strata) summary(clObj)