Multiple Comparisons and Simultaneous Confidence Intervals
Nonparametric multiple test procedure for many-to-one comparisons
Nonparametric multiple test procedure for all-pairs comparisons
Nonparametric multiple contrast tests and simultaneous confidence inte...
Nonparametric multiple contrast tests and simultaneous confidence inte...
A 2-sample nonparametric studentized permutation test for paired data
The nonparametric Behrens-Fisher problem
Nparcomp: Nonparametric relative contrast effects.
Nonparametric relative contrast effects
Patient Rated Global Impression (PGI) Scores
Visualizing the result of mctp
Visualizing the result of mctp.rm
Visualizing the result of nparcomp
Visualizing the result of npar.t.test
Visualizing the result of npar.t.test.paired
Summary of mctp
Summary of mctp.rm
Summary of nparcomp
Summary of npar.t.test
Summary of npar.t.test
With this package, it is possible to compute nonparametric simultaneous confidence intervals for relative contrast effects in the unbalanced one way layout. Moreover, it computes simultaneous p-values. The simultaneous confidence intervals can be computed using multivariate normal distribution, multivariate t-distribution with a Satterthwaite Approximation of the degree of freedom or using multivariate range preserving transformations with Logit or Probit as transformation function. 2 sample comparisons can be performed with the same methods described above. There is no assumption on the underlying distribution function, only that the data have to be at least ordinal numbers. See Konietschke et al. (2015) <doi:10.18637/jss.v064.i09> for details.