{
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  "Type": "Package",
  "Title": "Ratios of Coefficients in the General Linear Model",
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  "Date": "2025-01-08",
  "Authors@R": "c(person(\"Gemechis\", \"Djira\", role=\"aut\"),\nperson(\"Mario\",\"Hasler\", role=\"aut\"),\nperson(\"Daniel\", \"Gerhard\", role=\"aut\"),\nperson(\"Lawrence\", \"Segbehoe\", role=\"aut\"),\nperson(\"Frank\",\"Schaarschmidt\", role=c(\"aut\",\"cre\"), email=\"schaarschmidt@biostat.uni-hannover.de\"))",
  "Author": "Gemechis Djira [aut], Mario Hasler [aut], Daniel Gerhard [aut],\nLawrence Segbehoe [aut], Frank Schaarschmidt [aut, cre]",
  "Maintainer": "Frank Schaarschmidt <schaarschmidt@biostat.uni-hannover.de>",
  "Description": "Performs (simultaneous) inferences for ratios of linear\ncombinations of coefficients in the general linear model,\nlinear mixed model, and for quantiles in a one-way layout.\nMultiple comparisons and simultaneous confidence interval\nestimations can be performed for ratios of treatment means in\nthe normal one-way layout with homogeneous and heterogeneous\ntreatment variances, according to Dilba et al. (2007)\n<https://cran.r-project.org/doc/Rnews/Rnews_2007-1.pdf> and\nHasler and Hothorn (2008) <doi:10.1002/bimj.200710466>.\nConfidence interval estimations for ratios of linear\ncombinations of linear model parameters like in (multiple)\nslope ratio and parallel line assays can be carried out.\nMoreover, it is possible to calculate the sample sizes required\nin comparisons with a control based on relative margins. For\nthe simple two-sample problem, functions for a t-test for\nratio-formatted hypotheses and the corresponding confidence\ninterval are provided assuming homogeneous or heterogeneous\ngroup variances.",
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