Man pages for bootComb
Combine Parameter Estimates via Parametric Bootstrap

adjPrevSensSpecAdjust a prevalence point estimate for a given assay...
adjPrevSensSpecCIAdjust a prevalence point estimate and confidence interval...
bootCombCombine parameter estimates via bootstrap
getBetaFromCIFind the best-fit beta distribution for a given confidence...
getExpFromCIFind the best-fit exponential distribution for a given...
getGammaFromCIFind the best-fit gamma distribution for a given confidence...
getNegBinFromCIFind the best-fit negative binomial distribution for a given...
getNormFromCIFind the best-fit normal / Gaussian distribution for a given...
getPoisFromCIFind the best-fit Poisson distribution for a given confidence...
identifyBetaParsDetermine the parameters of the best-fit beta distribution...
identifyExpParsDetermine the parameters of the best-fit exponential...
identifyGammaParsDetermine the parameters of the best-fit gamma distribution...
identifyNegBinParsDetermine the parameters of the best-fit negative binomial...
identifyNormParsDetermine the parameters of the best-fit normal / Gaussian...
identifyPoisParsDetermine the parameters of the best-fit Poisson distribution...
simScenPrevSensSpecSimulation scenario for adjusting a prevalence for...
simScenProductTwoPrevsSimulation scenario for the product of two prevlaence...
ssBetaParsCompute the sum of squares between the theoretical and...
ssExpParsCompute the sum of squares between the theoretical and...
ssGammaParsCompute the sum of squares between the theoretical and...
ssNegBinParsCompute the sum of squares between the theoretical and...
ssNormParsCompute the sum of squares between the theoretical and...
ssPoisParsCompute the sum of squares between the theoretical and...
bootComb documentation built on Jan. 31, 2022, 1:07 a.m.