getCyclopsProfileLogLikelihood
evaluates the profile likelihood at a grid of parameter values.
getCyclopsProfileLogLikelihood(
object,
parm,
x = NULL,
bounds = NULL,
tolerance = 0.001,
initialGridSize = 10,
maxResets = 10,
includePenalty = TRUE,
optimalWarmStart = TRUE
)
A data frame containing the profile log likelihood. Returns NULL when the adaptive profiling fails to converge.
Fitted Cyclops model object
Specification of which parameter requires profiling, either a vector of numbers of covariateId names
Vector of values of the parameter
Pair of values to bound adaptive profiling
Absolute tolerance allowed for adaptive profiling
Initial grid size for adaptive profiling
Maximum allowed number of recomputing the likelihood when coefficient drift is detected.
Logical: Include regularized covariate penalty in profile
Logical: Use optimal warm-starting when parallelizing evaluations