person("Ryan", "Thompson",  email = "ryan.thompson1@unsw.edu.au", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-9002-0448"))

End-to-End Automated Machine Learning and Model Evaluation
c(
person("Alex", "Zwanenburg",
email = "alexander.zwanenburg@nct-dresden.de",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-0342-9545")),
person("Steffen", "Löck", role="aut"),
person("Stefan", "Leger", role="ctb"),
person("Iram", "Shahzadi", role="ctb"),
person("Asier", "Rabasco Meneghetti", role="ctb"),
person("Sebastian", "Starke", role="ctb"),
person("Technische Universität Dresden", role="cph"),
person("German Cancer Research Center (DKFZ)", role="cph"))
Single unified interface for end-to-end modelling of regression,
categorical and time-to-event (survival) outcomes. Models created using
familiar are self-containing, and their use does not require additional
information such as baseline survival, feature clustering, or feature
transformation and normalisation parameters. Model performance,
calibration, risk group stratification, (permutation) variable importance,
individual conditional expectation, partial dependence, and more, are
assessed automatically as part of the evaluation process and exported in
tabular format and plotted, and may also be computed manually using export
and plot functions. Where possible, metrics and values obtained during the
evaluation process come with confidence intervals.
data.table, methods, rlang (>= 0.3.4), rstream, stringi,
survival
BART, callr (>= 3.4.3), cluster, CORElearn, cowplot,
dynamicTreeCut, e1071 (>= 1.7.5), Ecdat, fastcluster, ggplot2
(>= 3.0.0), glmnet, gtable, harmonicmeanp, isotree (>= 0.3.0),
knitr, labeling, laGP, MASS, maxstat, mboost (>= 2.9.0),
microbenchmark, partykit, proxy, qvalue, randomForestSRC,
ranger, rmarkdown, scales, testthat (>= 3.0.0), xml2, VGAM,
xgboost
Alex Zwanenburg [aut, cre] (<https://orcid.org/0000-0002-0342-9545>),
Steffen Löck [aut],
Stefan Leger [ctb],
Iram Shahzadi [ctb],
Asier Rabasco Meneghetti [ctb],
Sebastian Starke [ctb],
Technische Universität Dresden [cph],
German Cancer Research Center (DKFZ) [cph]