`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.

- Create a function that displays the distribution of (standardized) coefficients in a sort of funnel plot (or the forest plot of the
`meta`

package) - Know how, but need to create the function
- Create a function that analyses the impact of the
**presence**of control variables by using fixed effects on every variable - Create a function that perform fixed effects estimation (with
`lfe`

) instead of OLS - Update the vignette
- Not so important for now, but useful for documentation and first draft of the report

If you need assistance using `regrobustsim`

, you can get in touch by emailing [email protected].

Thdegraaff/regrobustsim documentation built on May 9, 2019, 4:27 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.