R: Combine Parameter Estimates via Parametric Bootstrap

# Combine Parameter Estimates via Parametric Bootstrap

## Documentation for package ‘bootComb’ version 1.1.2

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

adjPrevSensSpec | Adjust a prevalence point estimate for a given assay sensitivity and specificity.
adjPrevSensSpecCI | Adjust a prevalence point estimate and confidence interval for a given assay sensitivity and specificity (also known only imprecisely).
bootComb | Combine parameter estimates via bootstrap
getBetaFromCI | Find the best-fit beta distribution for a given confidence interval for a probability parameter.
getExpFromCI | Find the best-fit exponential distribution for a given confidence interval.
getGammaFromCI | Find the best-fit gamma distribution for a given confidence interval.
getNegBinFromCI | Find the best-fit negative binomial distribution for a given confidence interval.
getNormFromCI | Find the best-fit normal / Gaussian distribution for a given confidence interval.
getPoisFromCI | Find the best-fit Poisson distribution for a given confidence interval.
identifyBetaPars | Determine the parameters of the best-fit beta distribution for a given confidence interval for a probability parameter.
identifyExpPars | Determine the parameters of the best-fit exponential distribution for a given confidence interval.
identifyGammaPars | Determine the parameters of the best-fit gamma distribution for a given confidence interval.
identifyNegBinPars | Determine the parameters of the best-fit negative binomial distribution for a given confidence interval.
identifyNormPars | Determine the parameters of the best-fit normal / Gaussian distribution for a given confidence interval.
identifyPoisPars | Determine the parameters of the best-fit Poisson distribution for a given confidence interval.
simScenPrevSensSpec | Simulation scenario for adjusting a prevalence for sensitivity and specificity.
simScenProductTwoPrevs | Simulation scenario for the product of two prevlaence estimates.
ssBetaPars | Compute the sum of squares between the theoretical and observed quantiles of a beta distribution.
ssExpPars | Compute the sum of squares between the theoretical and observed quantiles of an exponential distribution.
ssGammaPars | Compute the sum of squares between the theoretical and observed quantiles of a gamma distribution.
ssNegBinPars | Compute the sum of squares between the theoretical and observed quantiles of a negative binomial distribution.
ssNormPars | Compute the sum of squares between the theoretical and observed quantiles of a normal / Gaussian distribution.
ssPoisPars | Compute the sum of squares between the theoretical and observed quantiles of a Poisson distribution.