Description It implements many univariate and multivariate permutation (and rotation) tests. Al-lowed tests: the t one and two samples, ANOVA, linear mod-els, Chi Squared test, rank tests (i.e. Wilcoxon, Mann-Whitney, Kruskal-Wallis), Sign test and McNemar. Test on Linear Models are performed also in presence of covari-ates (i.e. nuisance parameters). The permutation and the rotation methods to get the null distribu-tion of the test statistics are available. It also implements methods for multiplicity con-trol such as Westfall-Young minP procedure and Closed Testing (Marcus, 1976) and k-FWER. Moreover, it allows to test for fixed effects in mixed effects models
Standard asymptotic chi-square distribution of the likelihood ratio and score statistics under the n...
Developing powerful hypothesis testing procedures devoted at comparing multivariate populations is q...
Several permutation strategies are often possible for tests of individual terms in analysis-of-varia...
Permutation methods are very useful in several scientic elds. They have the advantage of making fewe...
A test for the fixed effect in mixed-models is proposed. It is based on permutation strategy and is ...
Inference regarding the inclusion or exclusion of random effects in mixed models is challenging beca...
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
In the paper three permutation tests of significance of variance components in the linear mixed mode...
Permutation testing in linear models, where the number of nuisance coefficients is smaller than the ...
This report extends the technique of testing single variance components with generalized fixed-level...
Description A permutation test is used for inference in generalized linear models (glm). The procedu...
The relevance of any possibly significant covariate when using a generalized linear model should be ...
Description This package implements methods for hierarchical semiparametric regression mod-els for t...
Description Simultaneous tests and confidence intervals for general linear hypotheses in parametric ...
Standard asymptotic chi-square distribution of the likelihood ratio and score statistics under the n...
Developing powerful hypothesis testing procedures devoted at comparing multivariate populations is q...
Several permutation strategies are often possible for tests of individual terms in analysis-of-varia...
Permutation methods are very useful in several scientic elds. They have the advantage of making fewe...
A test for the fixed effect in mixed-models is proposed. It is based on permutation strategy and is ...
Inference regarding the inclusion or exclusion of random effects in mixed models is challenging beca...
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
In the paper three permutation tests of significance of variance components in the linear mixed mode...
Permutation testing in linear models, where the number of nuisance coefficients is smaller than the ...
This report extends the technique of testing single variance components with generalized fixed-level...
Description A permutation test is used for inference in generalized linear models (glm). The procedu...
The relevance of any possibly significant covariate when using a generalized linear model should be ...
Description This package implements methods for hierarchical semiparametric regression mod-els for t...
Description Simultaneous tests and confidence intervals for general linear hypotheses in parametric ...
Standard asymptotic chi-square distribution of the likelihood ratio and score statistics under the n...
Developing powerful hypothesis testing procedures devoted at comparing multivariate populations is q...
Several permutation strategies are often possible for tests of individual terms in analysis-of-varia...