variable names in returned beta matrix

[tdhock]

hey @anujkhare I ran your code on the ovarian data set

data(ovarian)
X <- with(ovarian, cbind(age=age, residual.disease=resid.ds-1, treatment=rx-1, ecog.ps=ecog.ps-1))
y_l <- ovarian$futime
y_r <- ovarian$futime
y_r[ovarian$fustat == 0] <- NA
y_surv <- log(cbind(y_l, y_r))
fit <- iregnet(X, y_surv, family="gaussian")

currently we have

> fit$beta[, 1:7]
         [,1]     [,2]     [,3]     [,4]     [,5]    [,6]     [,7]
[1,] 6.772081 6.772118 6.772103 6.772112 6.772108 6.77211 6.772109
[2,] 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000
[3,] 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000
[4,] 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000
[5,] 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000
> 

Can you please add row names to the beta matrix? (Intercept) and column names of input X matrix, same as glmnet.