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MD2sample - Various Methods for the Two Sample Problem in D>1 Dimensions

The routine twosample_test() in this package runs the two-sample test using various test statistic for multivariate data. The user can also run several tests and then find a p value adjusted for simultaneous inference. The p values are found via permutation or via the parametric bootstrap. The routine twosample_power() allows the estimation of the power of the tests. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package. For details of the methods and references see the included vignettes.

Last updated

cpp

3.68 score 1 dependents 524 downloads

MDgof - Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions

Provides multivariate goodness-of-fit testing with a common interface for several test statistics. Null models may be simple or include parameter estimation, with p-values obtained by parametric bootstrap simulation. The function gof_test_adjusted_pvalue() combines several tests and computes a p-value adjusted for simultaneous inference. The function gof_power() estimates test power. The functions hybrid_test() and hybrid_power() use Monte Carlo samples under the null together with two-sample procedures. The function run.studies() supports systematic power comparisons of user-supplied and included methods across case studies. See the included vignettes for method details and references.

Last updated

cpp

3.38 score 670 downloads

Rgof - 1d Goodness of Fit Tests

Routines that allow the user to run a large number of goodness-of-fit tests. It allows for data to be continuous or discrete. It includes routines to estimate the power of the tests and display them as a power graph. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.

Last updated

cpp

2.30 score 7 scripts 510 downloads

R2sample - Various Methods for the Two Sample Problem

The routine twosample_test() in this package runs the two sample test using various test statistic. The p values are found via permutation or large sample theory. The routine twosample_power() allows the calculation of the power in various cases, and plot_power() draws the corresponding power graphs. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.

Last updated

cpp

2.00 score 8 scripts 437 downloads

moodlequizR - Easily Create Fully Randomized 'Moodle' Test Questions

Routines to generate fully randomized 'moodle' quizzes. It also contains 15 examples and a 'shiny' app.

Last updated

2.00 score 1 scripts 245 downloads

simgof - Simultaneous Goodness-of-Fits Tests

Routine that allows the user to run several goodness-of-fit tests. It also combines the tests and returns a properly adjusted family-wise p value. Details can be found in <arXiv:2007.04727>.

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archivedpackagesr-universe

1.70 score 5 stars 1 scripts 73 downloads