R: Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis

# Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis

## Documentation for package ‘estmeansd’ version 1.0.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

bc.mean.sd | Box-Cox method for estimating the sample mean and standard deviation
get_SE | Parametric bootstrap standard error estimation
get_SE.bc.mean.sd | Parametric bootstrap standard error estimation for the box-cox approach
get_SE.mln.mean.sd | Parametric bootstrap standard error estimation for the method for unknown non-normal distributions approach
get_SE.qe.mean.sd | Parametric bootstrap standard error estimation for the quantile estimation approach
mln.mean.sd | Method for unknown non-normal distributions (MLN) approach for estimating the sample mean and standard deviation
plot.qe.fit | Plot method for objects of class "qe.fit"
print.bc.mean.sd | Print method for objects of class "bc.mean.sd"
print.mln.mean.sd | Print method for objects of class "mln.mean.sd"
print.qe.fit | Print method for objects of class "qe.fit"
print.qe.mean.sd | Print method for objects of class "qe.mean.sd"
qe.fit | Quantile estimation fitting
qe.mean.sd | Quantile estimation method for estimating the sample mean and standard deviation
summary.qe.mean.sd | Summary method for objects of class "qe.mean.sd"