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 485 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 57 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 4,224 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. 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.