Imports: jmvcore (>= 0.4), R6, car, multcomp, ggplot2, PMCMR, lsmeans,

Author: Ravi Selker, Jonathon Love, Damian Dropmann
Imports: jmvcore (>= 0.5.3), R6, car, multcomp, ggplot2 (>= 2.2.1),
PMCMR, lsmeans, vcd, vcdExtra, GGally, BayesFactor, psych,

PMCMR, lsmeans, vcd, vcdExtra, GGally, BayesFactor, psych (>=

Imports: jmvcore (>= 0.5.5), R6, car, multcomp, ggplot2 (>= 2.2.1),
1.7.5), GPArotation, afex, mvnormtest, lavaan

Description: A suite of common statistical methods such as descriptives,
t-tests, ANOVAs, correlation matrices, proportion tests, contingency tables,
and factor analysis. This package is also useable from the 'jamovi'
statistical spreadsheet (see <https://www.jamovi.org> for more information).
Imports: jmvcore (>= 0.7), R6, car, multcomp, ggplot2 (>= 2.2.1),
Suggests: exact2x2, testthat, semPlot, ggjoy

Imports: jmvcore (>= 0.8.1.6), R6, car, multcomp, ggplot2 (>= 2.2.1),
1.7.5), GPArotation, afex, mvnormtest, lavaan, ggridges

Imports: jmvcore (>= 0.8.1.4), R6, car, multcomp, ggplot2 (>= 2.2.1),
PMCMR, emmeans, vcd, vcdExtra, GGally, BayesFactor, psych (>=

t-tests, ANOVAs, regression, correlation matrices, proportion tests,
contingency tables, and factor analysis. This package is also useable from
the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more
Imports: jmvcore (>= 0.8.5), R6, car (>= 3.0.0), multcomp, ggplot2 (>=
2.2.1), PMCMR, emmeans (>= 1.1.3), vcd, vcdExtra, GGally,
BayesFactor, psych (>= 1.7.5), GPArotation, afex (>= 0.20.2),
mvnormtest, lavaan, ggridges, ROCR, nnet, MASS
Suggests: exact2x2, testthat, semPlot, carData

Imports: jmvcore (>= 0.8.5), R6, car, multcomp, ggplot2 (>= 2.2.1),
PMCMR, emmeans (>= 1.1.2), vcd, vcdExtra, GGally, BayesFactor,
psych (>= 1.7.5), GPArotation, afex, mvnormtest, lavaan,

Imports: jmvcore (>= 0.8), R6, car, multcomp, ggplot2 (>= 2.2.1),

Imports: jmvcore (>= 0.9.1.10), R6, car (>= 3.0.0), multcomp, ggplot2
(>= 2.2.1), PMCMR, emmeans (>= 1.1.3), vcd, vcdExtra, GGally,

Imports: jmvcore (>= 0.9.4), R6, car (>= 3.0.0), multcomp, ggplot2 (>=