Projects with this topic
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Fit parametric models for time-to-event data that show an initial 'incubation period', i.e., a variable phase where the hazard is zero. The delayed Weibull distribution serves as the foundational data model. The specific method of MPSE (maximum product of spacings estimation) or different variants of MLE (maximum likelihood estimation) are implemented for parameter estimation. Bootstrap confidence intervals for parameters and significance tests in a two group setting are provided as well.
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An R package to repair broken GIS polygons using the prepair C++ library. https://dickoa.gitlab.io/prepr/
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Fast implementation of random forests with serialization
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Package of cereal headers for R and C++ serialization.
Development project. Merged back into github.com/wush978/rcereal
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R Package to Detect Character Encoding. See documentation https://artemklevtsov.gitlab.io/uchardet
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R library to calculate fast random orthogonal projections using FFT to avoid matrix multiplications
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Functions to accurately measure and compare the execution time of R expressions. See https://artemklevtsov.gitlab.io/benchr/index.html
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R bindings for the Google Compact Encoding Detection library. See https://artemklevtsov.gitlab.io/ced/
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Interface to RocksDB. See documentation https://artemklevtsov.gitlab.io/rocksdb/
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R bindings of the C++ implementation of the ua-parser utility. Documentation https://artemklevtsov.gitlab.io/uaparser
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My thesis with 3 R packages and some scripts. CUDTP, ODT, SLF. CUDTP and ODT are dyadic tree algorithms for classification. The scripts contain the code for a comparison of some typical classification algorithms with CUDTP and ODT.
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