checkRd: (-1) VC.test.Rd:25: Lost braces
    25 | In the Clarke test, if the two models are statistically equivalent then the log-likelihood ratios of the observations should be evenly distributed around zero and around half of the ratios should be larger than zero. The test follows asymptotically a binomial distribution with parameters n and 0.5. Critical values can be obtained as shown in Clarke (2007). Intuitively, the model in \code{obj1} is preferred over that in \code{obj2} if the value of the test is significantly larger than its expected value under the null hypothesis ('code{n/2}), and vice versa. If the value is not significantly different from \code{n/2} then \code{obj1} can be thought of as equivalent to \code{obj2}.
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checkRd: (-1) fitDist.Rd:65: Lost braces in \itemize; meant \describe ?
checkRd: (-1) fitDist.Rd:67: Lost braces in \itemize; meant \describe ?
checkRd: (-1) fitDist.Rd:69: Lost braces in \itemize; meant \describe ?
checkRd: (-1) fitDist.Rd:71: Lost braces in \itemize; meant \describe ?
checkRd: (-1) fitDist.Rd:73-74: Lost braces in \itemize; meant \describe ?
checkRd: (-1) fitDist.Rd:76: Lost braces in \itemize; meant \describe ?
checkRd: (-1) histSmo.Rd:54: Lost braces
    54 | iv) The function \code{histSmo()} combines all the above functions in the sense that if lambda is fixed it uses  \code{histSmoO()}, if the df's are fixed it uses code{histSmoC()} and if none of these is specified it uses \code{histSmoP()}.
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checkRd: (-1) lms.Rd:32: Lost braces
    32 |   \item{step}{if code{prof=TRUE} is used this determine the step for the profile GAIC }
       |                      ^
checkRd: (-1) ri.Rd:32: Lost braces
    32 | The type of penalty required, \code{Lp=2} a proper ridge regression is the default. Use code{Lp=1} for lasso and different values for different penalties.  
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