High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().

Latest Versions

211 versions โ†’
VersionVulnerabilitiesUsagesDate
0.54.x
0.54.0-b7
28
Feb 14, 2021
0.54.0-b6
6
Feb 14, 2021
0.54.0-b5
0
Feb 14, 2021
0.53.x
0.53.1-b6
46
Feb 14, 2021
0.53.1-b5
51
Feb 14, 2021
0.53.1-b4
2
Feb 14, 2021
0.52.x
0.52.2-b40
1
Feb 14, 2021
0.52.2-b39
1
Feb 14, 2021
0.52.2-b38
1
Feb 14, 2021
0.51.x
0.51.0-b11
7
Feb 14, 2021
0.51.0-b10
1
Feb 14, 2021
0.51.0-b9
4
Feb 14, 2021
0.50.x
0.50.2-b34
2
Feb 14, 2021
0.50.2-b32
5
Feb 14, 2021
0.50.2-b31
0
Feb 14, 2021
0.15.x
0.15.0-b25
1
Feb 14, 2021
0.15.0-b24
1
Feb 14, 2021
0.15.0-b23
0
Feb 14, 2021
0.14.x
0.14.2-b32
1
Feb 14, 2021
0.14.2-b31
2
Feb 14, 2021
0.14.2-b30
2
Feb 14, 2021
211 versions โ†’