Title: Estimating the Sample Mean and Standard Deviation from Commonly
Authors@R: c(person("Sean", "McGrath", role = c("aut", "cre"),
person("XiaoFei", "Zhao", role = c("aut"),
person("Russell", "Steele", role = c("aut"),
person("Andrea", "Benedetti", role = c("aut"),
Description: Implements the methods of McGrath et al. (in preparation) for
estimating the sample mean and standard deviation from commonly reported
quantiles in meta-analysis. These methods can be applied to studies that
report the sample median, sample size, and one or both of (i) the sample
minimum and maximum values and (ii) the first and third quartiles.

Author: Sean McGrath [aut, cre] (<https://orcid.org/0000-0002-7281-3516>),

Description: Implements the methods of McGrath et al. (2019) <arXiv:1903.10498>
for estimating the sample mean and standard deviation from commonly reported
Imports: graphics, grDevices, metaBLUE, stats

Description: Implements the methods of McGrath et al. (2020)
<doi:10.1177/0962280219889080> for estimating the sample mean and standard
deviation from commonly reported quantiles in meta-analysis. These methods
can be applied to studies that report the sample median, sample size, and
one or both of (i) the sample minimum and maximum values and (ii) the first

<doi:10.1177/09622802211047348> for estimating the sample mean and standard

Author: Felix Kaminsky <fkamins@uni-goettingen.de>, inspired by the
Description: The function collection stores the estimates of several
models and formats it to a LaTeX-formated table of the form
Packaged: Wed May 27 22:22:35 2009; cataclysmic

models and formats it to a table of the form estimate starred
and std.err. below. The default output is LaTeX but output to
CSV for later editing in a spreadsheet tool is possible as
well. It works for linear models (lm) and panel models from the
Packaged: 2009-07-31 19:24:51 UTC; cataclysmic

"plm"-package (plm). The added "descsto" and "desctab" enable
you to export descriptive statistics of data-frames and single
Packaged: 2009-08-08 12:46:16 UTC; cataclysmic