robCompositions

Methods for analysis of compositional data including robust methods (doi:10.1007/978-3-319-96422-5), imputation of missing values (doi:10.1016/j.csda.2009.11.023), methods to replace rounded zeros (doi:10.1080/02664763.2017.1410524, doi:10.1016/j.chemolab.2016.04.011, doi:10.1016/j.csda.2012.02.012), count zeros (doi:10.1177/1471082X14535524), methods to deal with essential zeros (doi:10.1080/02664763.2016.1182135), (robust) outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis for compositional data, (robust) discriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors, functional data analysis (doi:10.1016/j.csda.2015.07.007) and p-splines (doi:10.1016/j.csda.2015.07.007), contingency (doi:10.1080/03610926.2013.824980) and compositional tables (doi:10.1111/sjos.12326, doi:10.1111/sjos.12223, doi:10.1080/02664763.2013.856871) and (robust) Anderson-Darling normality tests for compositional data as well as popular log-ratio transformations (addLR, cenLR, isomLR, and their inverse transformations). In addition, visualisation and diagnostic tools are implemented as well as high and low-level plot functions for the ternary diagram.

Last 30 days

This package has been downloaded 1,298 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 27 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 15,649 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Jan 15, 2025 with 195 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.