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Various functions and algorithms are provided here for solving optimal matching tasks in the context of preclinical cancer studies. Further, various helper and plotting functions are provided for unsupervised and supervised machine learning as well as longitudinal mixed-effects modeling of tumor growth response patterns.
Version: | 0.9.6 |
Depends: | R (≥ 3.0.0) |
Imports: | grDevices, graphics, stats, utils |
Suggests: | lme4, nlme, amap, nbpMatching, lattice, lmerTest, xtable, Cairo, Matrix, MASS |
Published: | 2018-05-26 |
DOI: | 10.32614/CRAN.package.hamlet |
Author: | Teemu Daniel Laajala |
Maintainer: | Teemu Daniel Laajala <teelaa at utu.fi> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Citation: | hamlet citation info |
Materials: | NEWS |
CRAN checks: | hamlet results |
Reference manual: | hamlet.pdf |
Vignettes: |
Introduction to hamlet |
Package source: | hamlet_0.9.6.tar.gz |
Windows binaries: | r-devel: hamlet_0.9.6.zip, r-release: hamlet_0.9.6.zip, r-oldrel: hamlet_0.9.6.zip |
macOS binaries: | r-release (arm64): hamlet_0.9.6.tgz, r-oldrel (arm64): hamlet_0.9.6.tgz, r-release (x86_64): hamlet_0.9.6.tgz, r-oldrel (x86_64): hamlet_0.9.6.tgz |
Old sources: | hamlet archive |
Reverse imports: | ePCR, oscar |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.