Imports: insight (>= 0.11.0), bayestestR (>= 0.7.5), stats, utils
Suggests: AER, BayesFactor, betareg, bigutilsr, brms, car, correlation,
covr, cplm, dbscan, fixest, forecast, ggplot2, gridExtra,
metafor, mlogit, nlme, ordinal, parallel, parameters, pscl,
psych, randomForest, rmarkdown, rstanarm, rstantools, see,
survey, survival, testthat, tweedie, VGAM, spelling

Suggests: AER, BayesFactor, betareg, bigutilsr, brms, car,
CompQuadForm, correlation, covr, cplm, dbscan, fixest,
lme4, lmtest, loo, Matrix, MASS, metafor, mgcv, mlogit, nlme,
nonnest2, ordinal, parallel, parameters, pscl, psych,
randomForest, rmarkdown, rstanarm, rstantools, sandwich, see,

Imports: bayestestR (>= 0.8.2), insight (>= 0.13.2), stats, utils
CompQuadForm, correlation, cplm, dbscan, fixest, forecast,
gamm4, ggplot2, glmmTMB, gridExtra, ICS, ICSOutlier, ISLR,
lavaan, lme4, lmtest, loo, magrittr, MASS, Matrix, metafor,
mgcv, mlogit, nlme, nonnest2, ordinal, parallel, parameters,
sandwich, see, spelling, survey, survival, testthat, tweedie,

Imports: bayestestR (>= 0.9.0), insight (>= 0.14.0), stats, utils
Suggests: AER, afex, BayesFactor, betareg, bigutilsr, brms, car,

Imports: bayestestR (>= 0.9.0), insight (>= 0.14.0), datawizard, stats,
CompQuadForm, correlation, cplm, dbscan, dplyr, fixest,
forecast, gamm4, ggplot2, glmmTMB, ICS, ICSOutlier, ISLR,
patchwork, pscl, psych, randomForest, rmarkdown, rstanarm,
rstantools, sandwich, see, spelling, survey, survival,

Imports: bayestestR (>= 0.9.0), insight (>= 0.14.0), datawizard (>=
lavaan, lme4, lmtest, loo, magrittr, MASS, Matrix, mclust,
metafor, mgcv, mlogit, multimode, nlme, nonnest2, ordinal,
parallel, parameters, patchwork, pscl, psych, randomForest,
rmarkdown, rstanarm, rstantools, sandwich, see, spelling,
survey, survival, testthat, tweedie, VGAM

Imports: bayestestR (>= 0.11.5), insight (>= 0.17.0), datawizard (>=
fixest, forecast, gamm4, ggplot2, glmmTMB, httr, ICS,

Imports: bayestestR (>= 0.11.5), insight (>= 0.18.0), datawizard (>=

Title: An infra-structure for performance estimation of predictive
Depends: R(>= 3.0), methods, graphics, ggplot2 (>= 0.9.3)
Description: This package provides an  infra-structure for performance estimation and experimental comparison and selection of predictive models