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This function takes an object of class "nparcomp" and creates a plot of the confidence intervals for the estimated nonparametric contrast effects.
● Data Source:
CranContrib
● Keywords: aplot
● Alias: plot.nparcomp
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The function summary.npar.t.test produces a result summary of npar.t.test. It can only be applied to objects of class "nparttest".
● Data Source:
CranContrib
● Keywords: print
● Alias: summary.nparttest
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The function summary.mctp produces a result summary of mctp. It can only be applied to objects of class "mctp".
● Data Source:
CranContrib
● Keywords: print
● Alias: summary.mctp
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nparcomp
(Package: nparcomp) :
Nonparametric relative contrast effects
The function nparcomp computes the estimator of nonparametric relative contrast effects, simultaneous confidence intervals for the effects and simultaneous p-values based on special contrasts like "Tukey", "Dunnett", "Sequen", "Williams", "Changepoint", "AVE", "McDermott", "Marcus", "UmbrellaWilliams", "UserDefined". The statistics are computed using multivariate normal distribution, multivariate Satterthwaite t-Approximation and multivariate transformations (Probit and Logit transformation function). The function 'nparcomp' also computes one-sided and two-sided confidence intervals and p-values. The confidence intervals can be plotted.
● Data Source:
CranContrib
● Keywords: htest
● Alias: nparcomp
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The function summary.nparcomp produces a result summary of nparcomp. It can only be applied to objects of class "nparcomp".
● Data Source:
CranContrib
● Keywords: print
● Alias: summary.nparcomp
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npar.t.test
(Package: nparcomp) :
The nonparametric Behrens-Fisher problem
The function npar.t.test performs two sample tests for the nonparametric Behrens-Fisher problem, that is testing the hypothesis
● Data Source:
CranContrib
● Keywords: htest
● Alias: npar.t.test
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This function takes an object of class "mctp.rm" and creates a plot of the confidence intervals for the estimated effects.
● Data Source:
CranContrib
● Keywords: aplot
● Alias: plot.mctp.rm
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This function takes an object of class "mctp" and creates a plot of the confidence intervals for the estimated effects.
● Data Source:
CranContrib
● Keywords: aplot
● Alias: plot.mctp
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The function summary.mctp.rm produces a result summary of mctp.rm. It can only be applied to objects of class "mctp.rm".
● Data Source:
CranContrib
● Keywords: print
● Alias: summary.mctp.rm
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This function takes an object of class "nparttestpaired" and creates a plot of the confidence intervals for the estimated effect resulting from the studentized permutation test and the Brunner-Munzel test.
● Data Source:
CranContrib
● Keywords: aplot
● Alias: plot.nparttestpaired
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