rqlm

Modified Poisson and least-squares regression analyses for binary outcomes of Zou (2004) doi:10.1093/aje/kwh090 and Cheung (2007) doi:10.1093/aje/kwm223 have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. Also, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals (Noma and Gosho (2024) Forthcoming).

Last 30 days

This package has been downloaded 327 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 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 5,778 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Jul 23, 2024 with 147 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.