Implements the methods of McGrath et al. (2020)
<doi:10.1177/0962280219889080> and Cai et al. (2021)
<doi:10.1177/09622802211047348> 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.

Felix Kaminsky <fkamins@uni-goettingen.de>, inspired by the
estout package for Stata.
The function collection stores the estimates of several
models and formats it to a LaTeX-formated table of the form
estimate starred and std.err. below.

The function collection stores the estimates of several
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
"plm"-package (plm).

The function collection stores the estimates of several
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
"plm"-package (plm). The added "descsto" and "desctab" enable
you to export descriptive statistics of data-frames and single
variables to LaTeX and CSV.

This package is intended to speedup the process of
creating model-comparing tables common in Macroeconomics. The
function collection stores the estimates of several 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 "plm"-package
(plm). Two further implemented functions "descsto" and
"desctab" enable you to export descriptive statistics of
data-frames and single variables to LaTeX and CSV.