objFunFactory {incubate} | R Documentation |
Given the observed data this factory method produces an objective function which is either the negative of the MPSE-criterion H or the negative log-likelihood for MLE.
objFunFactory(
x,
y = NULL,
distribution = c("exponential", "weibull"),
twoPhase = FALSE,
bind = NULL,
method = c("MPSE", "MLEn", "MLEc", "MLEw"),
profiled = FALSE,
ties = c("density", "equidist", "random", "error"),
verbose = 0
)
x |
numeric. observations |
y |
numeric. observations in second group. |
distribution |
character(1). delayed distribution family |
twoPhase |
logical flag. Do we allow for two delay phases where event rate may change? Default is |
bind |
character. parameter names that are bind together (i.e. equated) between both groups |
method |
character(1). Specifies the method for which to build the objective function. Default value is |
profiled |
logical. Should scale parameter be profiled out prior to optimization? |
ties |
character. How to handle ties within data of a group. |
verbose |
integer flag. How much verbosity in output? The higher the more output. Default value is 0 which is no output. |
The objective function takes a vector of model parameters as argument.
From the observations, negative or infinite values are discarded during pre-processing. In any case, the objective function is to be minimized.
the objective function (e.g., the negative MPSE criterion) for given choice of model parameters or NULL
upon errors