CRAN/E | SuperLearner

SuperLearner

Super Learner Prediction

Installation

About

Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.

github.com/ecpolley/SuperLearner

Key Metrics

Version 2.0-29
R ≥ 2.14.0
Published 2024-02-20 38 days ago
Needs compilation? no
License GPL-3
CRAN checks SuperLearner results

Downloads

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Maintainer

Maintainer

Eric Polley

epolley@uchicago.edu

Authors

Eric Polley

aut / cre

Erin LeDell

aut

Chris Kennedy

aut

Sam Lendle

ctb

Mark van der Laan

aut / ths

Material

NEWS
ChangeLog
Reference manual
Package source

In Views

Bayesian
MachineLearning

Vignettes

Guide to SuperLearner

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SuperLearner archive

Depends

R ≥ 2.14.0
nnls
gam ≥ 1.15

Imports

cvAUC
methods

Suggests

arm
bartMachine
biglasso
bigmemory
caret
class
devtools
e1071
earth
gbm
genefilter
ggplot2
glmnet
ipred
KernelKnn
kernlab
knitr
lattice
LogicReg
MASS
mlbench
nloptr
nnet
party
polspline
prettydoc
quadprog
randomForest
ranger
RhpcBLASctl
ROCR
rmarkdown
rpart
SIS
speedglm
spls
sva
testthat
xgboost ≥ 0.6

Reverse Depends

ctmle
EScvtmle
polle
subsemble
survML
tmle

Reverse Imports

AIPW
amp
CausalGPS
CausalMetaR
causalweight
CIMTx
concrete
CRE
crossurr
DRDRtest
drpop
drtmle
evalITR
flevr
GPCERF
lmtp
nlpred
PSweight
Ricrt
superMICE
tehtuner
tidyhte
vaccine
vimp

Reverse Suggests

biotmle
gKRLS
hal9001
ltmle
medflex
nestedcv
riskRegression
stacks
targeted
vglmer
WeightIt