## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup, include=FALSE----------------------------------------------------- library(braidrm) ## ----------------------------------------------------------------------------- ufit1 <- fitUrsaModel(measure ~ concA+concB, additiveExample) coef(ufit1) ufit2 <- fitUrsaModel(measure ~ concA+concB, synergisticExample) coef(ufit2) ufit3 <- fitUrsaModel(measure ~ concA+concB, antagonisticExample) coef(ufit3) ## ----------------------------------------------------------------------------- mfit1 <- fitMusycModel(measure ~ concA+concB, additiveExample) coef(mfit1) mfit2 <- fitMusycModel(measure ~ concA+concB, synergisticExample) coef(mfit2) mfit3 <- fitMusycModel(measure ~ concA+concB, antagonisticExample) coef(mfit3) ## ----------------------------------------------------------------------------- concs1 <- cbind(additiveExample$concA,additiveExample$concB) act1 <- additiveExample$measure mean(deviationSurface(concs1,act1,method="Bliss",range=c(0,1))) mean(deviationSurface(concs1,act1,method="HSA",increasing=TRUE)) mean(deviationSurface(concs1,act1,method="Loewe")) mean(deviationSurface(concs1,act1,method="ZIP",range=c(0,1))) concs2 <- cbind(synergisticExample$concA,additiveExample$concB) act2 <- synergisticExample$measure mean(deviationSurface(concs2,act2,method="Bliss",range=c(0,1))) mean(deviationSurface(concs2,act2,method="HSA",increasing=TRUE)) mean(deviationSurface(concs2,act2,method="Loewe")) mean(deviationSurface(concs2,act2,method="ZIP",range=c(0,1))) concs3 <- cbind(antagonisticExample$concA,additiveExample$concB) act3 <- antagonisticExample$measure mean(deviationSurface(concs3,act3,method="Bliss",range=c(0,1))) mean(deviationSurface(concs3,act3,method="HSA",increasing=TRUE)) mean(deviationSurface(concs3,act3,method="Loewe")) mean(deviationSurface(concs3,act3,method="ZIP",range=c(0,1))) ## ----------------------------------------------------------------------------- estimateCombinationIndices(concs1,act1,level=c(0.5)) estimateCombinationIndices(concs2,act2,level=c(0.5)) estimateCombinationIndices(concs3,act3,level=c(0.5))