rvif

The detection of troubling approximate collinearity in a multiple linear regression model is a classical problem in Econometrics. The objective of this package is to detect it using the variance inflation factor redefined and the scatterplot between the variance inflation factor and the coefficient of variation. For more details see Salmerón R., García C.B. and García J. (2018) doi:10.1080/00949655.2018.1463376, Salmerón, R., Rodríguez, A. and García C. (2020) doi:10.1007/s00180-019-00922-x, Salmerón, R., García, C.B, Rodríguez, A. and García, C. (2022) doi:10.32614/RJ-2023-010, Salmerón, R., García, C.B. and García, J. (2024) doi:10.1007/s10614-024-10575-8 and Salmerón, R., García, C.B, García J. (2023, working paper) doi:10.48550/arXiv.2005.02245.

Last 30 days

This package has been downloaded 437 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 4,220 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Nov 23, 2024 with 68 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.