mratios
Ratios of Coefficients in the General Linear Model
Performs (simultaneous) inferences for ratios of linear combinations of coefficients in the general linear model, linear mixed model, and for quantiles in a one-way layout. Multiple comparisons and simultaneous confidence interval estimations can be performed for ratios of treatment means in the normal one-way layout with homogeneous and heterogeneous treatment variances, according to Dilba et al. (2007) <https://cran.r-project.org/doc/Rnews/Rnews_2007-1.pdf> and Hasler and Hothorn (2008) <doi:10.1002/bimj.200710466>. Confidence interval estimations for ratios of linear combinations of linear model parameters like in (multiple) slope ratio and parallel line assays can be carried out. Moreover, it is possible to calculate the sample sizes required in comparisons with a control based on relative margins. For the simple two-sample problem, functions for a t-test for ratio-formatted hypotheses and the corresponding confidence interval are provided assuming homogeneous or heterogeneous group variances.
- Version1.4.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release06/19/2020
Documentation
Team
Frank Schaarschmidt
Mario Hasler
Show author detailsRolesAuthorDaniel Gerhard
Show author detailsRolesAuthorGemechis Djira
Show author detailsRolesAuthorLawrence Segbehoe
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 1,585 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 58 times.
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Last 365 days
This package has been downloaded 14,851 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Oct 16, 2024 with 129 downloads.
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Dependencies
- Imports4 packages
- Suggests1 package
- Reverse Imports2 packages
- Reverse Suggests1 package