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Add Support for Additional Model Classes #1
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@leeper I'd add the other survey package functions. While many of them are based on survey::svyglm() which are class glm, lm, and svyglm, the survey::svyolr() function is NOT from MASS::polr() and is of class svyolr. |
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This is a list of requested model classes to potentially support in prediction. It is sorted by completion status of model support, and then by function name. In order to support a model class, the package needs to provide a
predict()
method. If this is not provided, it is not (presently) supportable.Supported
arm::bayesglm()
(inherits from "glm")aod::betabin()
,aod::negbin()
,aod::quasibin()
,aod::quasipois()
,betareg::betareg()
(class"betareg"
), withpredict()
method (but nose.fit
arg)biglm::biglm()
andbiglm::bigglm()
brglm::brglm()
(inherits from "glm")mda::bruto()
ordinal::clm()
earth::earth()
mda::fda()
gam::gam()
kernlab::gausspr()
gee::gee()
stats::glm()
glmnet::glmnet()
glmx::glmx()
(class"glmx"
)MASS::glm.nb()
(inherits from "glm")glmx::hetglm()
(class"hetglm"
)pscl::hurdle()
AER::ivreg()
caret::knnreg()
kernlab::kqr()
kernlab::ksvm()
MASS::lda()
stats::lm()
lmer()
,glmer()
, ...) (butlme4:::predict.merMod()
has nose.fit
argument)nlme:::predict.lme()
has nose.fit
ortype
argumentsnlme:::predict.gls()
has nose.fit
argument.stats::loess()
(predict()
method usesse
rather thanse.fit
)MASS::lqs()
mda::mars()
MASS::mca()
mclogit::mclogit()
(class"mclogit"
), which is basically "glm"mda::mda()
mlogit::mlogit()
mnlogit::mnlogit()
MNP::mnp()
nnet::multinom()
or any nnet model generallye1071::naiveBayes()
model = TRUE
in original call; and then gettingterm(object[["model"]])
)MASS::polr()
(haspredict()
method withtype = c("class", "probs")
)arm::bayespolr()
(covered by general"polr"
method)mda::polyreg()
caret::predict()
MASS::qda()
quantreg::rq()
rpart::rpart()
sampleSelection::selection()
(class"select"
)speedglm::speedglm()
andspeedglm::speedlm()
survival::survreg()
type
values forpredict()
:c("lp", "risk", "expected")
survey::svyglm()
AER::tobit()
truncreg::truncreg()
pscl::zeroinfl()
Potentially supportable
bamlss::bamlss()
dynlm::dynlm()
gnm::gnm()
LARF::larf()
bbmle::mle2()
mpt::mpt()
VGAM::vglm()
mgcv::bam()
mgcv::gam()
gamlss::gamlss()
mgcv::gamm()
VGAM::vgam()
sphet::spreg()
splm::spml()
splm::spgm()
Not currently supportable
margEff()
generic but nopredict()
method)ordinal::clmm()
(nopredict()
method)lfe::felm()
(nopredict()
method)lm.disp()
,glm.binomial.disp()
,glm.poisson.disp()
(nopredict()
method)geeglm()
,geese()
,ordgee()
(nopredict()
methods)gmm::gmm()
(nopredict()
method)gmnl::gmnl()
(nopredict()
method)GeneralizedHyperbolic::hyperblm()
(nopredict()
method)ivprobit::ivprobit()
(nopredict()
method)class::knn()
(does not construct a model object)sem::tsls()
(nopredict()
method)plm::plm()
(non-exported predict method)plm::pglm()
survey::svyolr()
(nopredict()
method)(Note: this is migrated from: leeper/margins#3)
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