diff --git a/pkg/R/mclogit-rebase.R b/pkg/R/mclogit-rebase.R index 1488136..f7af6d7 100644 --- a/pkg/R/mclogit-rebase.R +++ b/pkg/R/mclogit-rebase.R @@ -30,6 +30,7 @@ rebase_mat <- function(categs,from,to){ #' #' @param object a statistical model object #' @param to usually, a string; the baseline category +#' @param ... other arguments, currently ignored rebase <- function(object,to,...) UseMethod("rebase") #' @rdname rebase diff --git a/pkg/man/mclogit_control.Rd b/pkg/man/mclogit_control.Rd index 59620df..cd63f3c 100644 --- a/pkg/man/mclogit_control.Rd +++ b/pkg/man/mclogit_control.Rd @@ -27,7 +27,12 @@ mmclogit.control(epsilon = 1e-08, NM.beta = 0.5, NM.gamma = 2.0, SANN.temp = 10, - SANN.tmax = 10) + SANN.tmax = 10, + grtol = 1e-6, + xtol = 1e-8, + maxeval = 100, + gradstep = c(1e-6, 1e-8), + use.gradient = c("analytic","numeric")) } \arguments{ \item{epsilon}{positive convergence tolerance \eqn{\epsilon}; @@ -71,6 +76,17 @@ mmclogit.control(epsilon = 1e-08, \item{SANN.tmax}{integer; the \code{tmax} argument passed to \code{\link{optim}} if "SANN" is selected as inner optimizer.} + \item{grtol}{numeric; the \code{grtol} control parameter + for \code{ucminf} if "ucminf" is selected as inner optimizer.} + \item{xtol}{numeric; the \code{xtol} control parameter + for \code{ucminf} if "ucminf" is selected as inner optimizer.} + \item{maxeval}{integer; the \code{maxeval} control parameter + for \code{ucminf} if "ucminf" is selected as inner optimizer.} + \item{gradstep}{a numeric vector of length; the \code{gradstep} control parameter + for \code{ucminf} if "ucminf" is selected as inner optimizer.} + \item{use.gradient}{a character string; whether the gradient should + be computed analytically or whether a finite-difference approximation + should be used.} } \value{ A list. diff --git a/pkg/man/rebase.Rd b/pkg/man/rebase.Rd index 53ba4ae..5d47e6d 100644 --- a/pkg/man/rebase.Rd +++ b/pkg/man/rebase.Rd @@ -13,6 +13,8 @@ rebase(object, to, ...) \item{object}{a statistical model object} \item{to}{usually, a string; the baseline category} + +\item{...}{other arguments, currently ignored} } \description{ `rebase` returns an model object that is equivalent to the one