fix to doc

Author: jonathan-taylor

selectiveInference/man/randomizedLasso.Rd

@@ -12,7 +12,6 @@ randomizedLasso(X,
                 y, 
                 lam, 
                 family=c("gaussian", "binomial"),
-		condition_subgrad=TRUE,
                 noise_scale=NULL, 
                 ridge_term=NULL, 
                 max_iter=100,       
@@ -45,12 +44,6 @@ Value of lambda used to compute beta. See the above warning
 \item{family}{
 Response type: "gaussian" (default), "binomial".
 }
-\item{condition_subgrad}{
-In forming selective confidence intervals and p-values should we condition
-on the inactive coordinates of the subgradient as well?
-Default is TRUE. This determines the form of \code{law} -- which
-is used for sampling later.
-}
 \item{noise_scale}{
 Scale of Gaussian noise added to objective. Default is 
 0.5 * sd(y) times the sqrt of the mean of the trace of X^TX.