The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

nparLD 2.3.1

• Fixed the ordering of output rows and cell-effect plots for numeric factor levels. Output tables and plots now preserve the canonical factor-level order instead of applying lexicographic ordering to character representations of factor levels.

nparLD 2.3.0

Major redesign

• Added a general formula interface for crossed factorial longitudinal designs.
• Added inference for hypotheses in marginal distribution functions (hypothesis = "H0F") and unweighted relative marginal effects (hypothesis = "H0p").
• Added support for missing observations.
• Added support for dependent replicate measurements via the replicate argument.
• Added subject-level and observation-level cell weighting for relative marginal effects.
• Added multiple contrast procedures and simultaneous confidence intervals.
• Added rank- and pseudo-rank-based inference through a unified interface.
• Added the argument covariance, which optionally includes the estimated covariance matrix in the output.
• Added updated documentation, examples, README, vignette, and example datasets.
• Added the brdu data set for illustrating dependent replicate measurements.
• Added term-specific plots of factor-information estimates and confidence intervals via plot(fit, term = ...).

Interface changes

• Factor ordering is intended to follow ordinary R factor levels before calling nparLD().
• Earlier design-specific ordering arguments are no longer part of the main interface.
• Classical designs such as LD-F1, F1-LD-F1, LD-F2, F1-LD-F2, and F2-LD-F1 are now specified through the formula interface.

nparLD 2.3.2

• Added accessor functions for fitted-model results.
• Revised print and summary methods.
• Improved p-value formatting.
• Added accessors for covariance, contrast matrices, and permutation results.
• Corrected Monte Carlo p-value calculation for paired permutation tests.
• Improved documentation, examples, and plotting reproducibility.

nparLD 2.3.3

• Revised print() and summary() methods for fitted nparLD objects. print() now provides a concise model overview and the ANOVA-type statistic, whereas summary() provides detailed effect estimates and inferential results.
• Multiple contrast, factor-specific, permutation, and other detailed results remain available through summary() and dedicated accessor functions.
• Updated documentation and examples accordingly.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.