internal-global-options {projpred} | R Documentation |
Internal global options
Description
The following global options are for internal use:
-
projpred.mssg_ndraws
,projpred.mssg_cut_search
,projpred.mssg_time
,projpred.warn_wobs_ppd
,projpred.warn_additive_experimental
,projpred.warn_allrandom_dis
,projpred.warn_instable_projections
,projpred.warn_cvrefbuilder_NULL
,projpred.warn_kfold_refits
: A single logical value indicating whether to throw certain messages or warnings (depending on the midfixmssg
orwarn
, respectively). For the exact meaning of these global options, see their occurrences in the codebase. With the exception ofprojpred.warn_allrandom_dis
, these global options are currently used in the unit tests to deactivate these messages and warnings. Global optionprojpred.warn_instable_projections
is also used (invisibly) in the latent vignette to suppress the corresponding warnings while illustrating the underlying issue (instable projections). -
projpred.additional_checks
: A single logical value indicating whether to run some additional checks that are not necessary to be run when users call the corresponding projpred functions. Currently, these checks are activated during the unit tests. -
projpred.glm_fitter
: A character string naming the function to be used as the submodel fitter for non-multilevel, non-additive projections. Currently, this is an experimental feature and allowed values are"fit_glm_ridge_callback"
(the default) and"fit_glm_callback"
. -
projpred.gaussian_not_as_generalized
: A single logical value indicating whether to treat thegaussian()
family not as a family for a generalized linear model (i.e., for whichglm()
would typically be used as a model fitting function outside of projpred), but as the family for an explicit linear model (i.e., for whichlm()
would typically be used as a model fitting function outside of projpred). This also holds for models with multilevel terms (because lme4 offers bothlme4::glmer()
andlme4::lmer()
). Currently, this is an experimental feature. -
projpred.PQL
: A single logical value indicating whether to useMASS::glmmPQL()
as the submodel fitter for multilevel (non-additive) projections (see GitHub issue #207 and GitHub pull request #353). Currently, this is an experimental feature.