metareg
gives a complete subset of regression analyses by varying the number of independent variables. At the moment, there are only the following two functions (checked and worked) in this package. One to do the simulation of regressions and the other to analyse the results:
result <- meta_ols(mpg ~., data = mtcars, k = 4)
analyse_meta(result[[1]], result[[2]])
To install the package you need to have the devtools
package installed in R
. Then do:
library(devtools)
install_github("thdegraaff/metareg")
Once installation is completed, the package can be loaded.
library(metareg)
Note that this package at the moment is very much work in progress and that the data it uses is the well-know mtcars
dataset, which is built in in R
. The data that will be used later is proprietary.
meta
package)lfe
) instead of OLSIf you need assistance using regrobustsim
, you can get in touch by emailing t.de.graaff@vu.nl.
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