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DESCRIPTION
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DESCRIPTION
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Package: performance
Type: Package
Title: Assessment of Regression Models Performance
Version: 0.3.0.9000
Date: 2019-08-05
Authors@R: c(
person("Daniel",
"Lüdecke",
role = c("aut", "cre"),
email = "[email protected]",
comment = c(ORCID = "0000-0002-8895-3206")),
person("Dominique",
"Makowski",
email = "[email protected]",
role = c("aut", "ctb"),
comment = c(ORCID = "0000-0001-5375-9967")),
person("Philip",
"Waggoner",
email = "[email protected]",
role = c("aut", "ctb"),
comment = c(ORCID = "0000-0002-7825-7573"))
)
Maintainer: Daniel Lüdecke <[email protected]>
Description: Utilities for computing measures to assess model quality,
which are not directly provided by R's 'base' or 'stats' packages. These
include e.g. measures like r-squared, intraclass correlation coefficient
(Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>),
root mean squared error or functions to check models for overdispersion,
singularity or zero-inflation and more. Functions apply to a large variety of
regression models, including generalized linear models, mixed effects models
and Bayesian models.
URL: https://easystats.github.io/performance/
BugReports: https://github.com/easystats/performance/issues
Depends:
R (>= 3.0)
Imports:
insight (>= 0.4.1),
bayestestR (>= 0.2.5)
Suggests:
AER,
betareg,
brms,
dbscan,
covr,
glmmTMB,
ICS,
ICSOutlier,
lavaan,
lme4,
loo,
Matrix,
MASS,
mlogit,
nlme,
ordinal,
parallel,
pscl,
psych,
randomForest,
rmarkdown,
rstanarm,
rstantools,
see (>= 0.2.1),
survival,
solitude,
testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1