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	2.0-28.1
R	≥ 2.14.0
Published	2023-07-18 135 days ago
Needs compilation?	no
License	GPL-3
CRAN checks	SuperLearner results

Downloads

Last 24 hours	0 -100%
Last 7 days	811 -26%
Last 30 days	4.065 -21%
Last 90 days	12.973 +3%
Last 365 days	51.642 +4%

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
r-oldrel	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

Suggests

arm
bartMachine
biglasso
bigmemory
caret
class
devtools
e1071
earth
extraTrees
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
causalweight
CIMTx
CRE
crossurr
DRDRtest
drpop
drtmle
GPCERF
lmtp
nlpred
PSweight
Ricrt
RISCA
superMICE
survivalSL
tehtuner
vaccine
vimp

Reverse Suggests

biotmle
gKRLS
hal9001
ltmle
medflex
nestedcv
riskRegression
stacks
targeted
vglmer
WeightIt