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 midfix mssg
or warn
, respectively). For the exact
meaning of these global options, see their occurrences in the codebase. With
the exception of projpred.warn_allrandom_dis
, these global options are
currently used in the unit tests to deactivate these messages and warnings.
Global option projpred.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 the gaussian()
family not as a family for a generalized
linear model (i.e., for which glm()
would typically be used as a model
fitting function outside of projpred), but as the family for an
explicit linear model (i.e., for which lm()
would typically be used as a
model fitting function outside of projpred). This also holds for models
with multilevel terms (because lme4 offers both lme4::glmer()
and
lme4::lmer()
). Currently, this is an experimental feature.
projpred.PQL
: A single logical value indicating whether to use
MASS::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.