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richierocks
rebus:Build Regular Expressions in a Human Readable Way
Build regular expressions piece by piece using human readable code. This package is designed for interactive use. For package development, use the rebus.* dependencies.
Maintained by Richard Cotton. Last updated 8 years ago.
33 stars 6.73 score 364 scripts 3 dependentsrichierocks
rebus.datetimes:Date and Time Extensions for the 'rebus' Package
Build regular expressions piece by piece using human readable code. This package contains date and time functionality, and is primarily intended to be used by package developers.
Maintained by Richard Cotton. Last updated 2 years ago.
1 stars 3.78 score 4 scripts 4 dependents
andregustavom
mlquantify:Algorithms for Class Distribution Estimation
Quantification is a prominent machine learning task that has received an increasing amount of attention in the last years. The objective is to predict the class distribution of a data sample. This package is a collection of machine learning algorithms for class distribution estimation. This package include algorithms from different paradigms of quantification. These methods are described in the paper: A. Maletzke, W. Hassan, D. dos Reis, and G. Batista. The importance of the test set size in quantification assessment. In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI20, pages 2640–2646, 2020. <doi:10.24963/ijcai.2020/366>.
Maintained by Andre Maletzke. Last updated 3 years ago.
7 stars 3.54 score 1 scripts
mmaechler
CLA:Critical Line Algorithm in Pure R
Implements 'Markowitz' Critical Line Algorithm ('CLA') for classical mean-variance portfolio optimization, see Markowitz (1952) <doi:10.2307/2975974>. Care has been taken for correctness in light of previous buggy implementations.
Maintained by Martin Maechler. Last updated 8 months ago.
2.70 score 8 scripts