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R-viruslearner rpm build for : openSUSE Leap 15. For other distributions click R-viruslearner.

Name : R-viruslearner
Version : 0.0.2 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.1.3 Date : 2024-06-14 12:13:11
Group : Development/Libraries/Other Source RPM : R-viruslearner-0.0.2-lp153.1.3.src.rpm
Size : 0.22 MB
Packager : (none)
Summary : Ensemble Learning for HIV-Related Metrics
Description :
Advanced statistical modeling techniques for ensemble learning,
specifically tailored to the analysis of lymphocyte counts and viral
load data in the context of HIV research. Empowering researchers and
practitioners, this tool provides a comprehensive solution for tasks
such as analysis, prediction and risk calculation related to key viral
metrics. The package incorporates cutting-edge ensemble learning
principles, inspired by model stacking techniques of Simon P. Couch and
Max Kuhn (2022) < doi:10.21105/joss.04471> and adhering to tidy data
principles, offering a robust and reproducible framework for HIV
research.

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64

Content of RPM  Provides Requires

Download
ftp.icm.edu.pl  R-viruslearner-0.0.2-lp153.1.3.x86_64.rpm
     

Provides :
R-viruslearner
R-viruslearner(x86-64)

Requires :
R-DiceDesign
R-GPfit
R-R6
R-RColorBrewer
R-Rcpp
R-RcppEigen
R-SQUAREM
R-base
R-butcher
R-cli
R-clock
R-colorspace
R-cpp11
R-crayon
R-data.table
R-diagram
R-dials
R-digest
R-doFuture
R-dplyr
R-ellipsis
R-fansi
R-farver
R-foreach
R-furrr
R-future
R-future.apply
R-generics
R-ggplot2
R-glmnet
R-globals
R-glue
R-gower
R-gtable
R-hardhat
R-ipred
R-isoband
R-iterators
R-labeling
R-lava
R-lhs
R-lifecycle
R-listenv
R-lobstr
R-lubridate
R-magrittr
R-modelenv
R-munsell
R-numDeriv
R-parallelly
R-parsnip
R-pillar
R-pkgconfig
R-prettyunits
R-prodlim
R-progressr
R-purrr
R-recipes
R-rlang
R-rsample
R-scales
R-shape
R-slider
R-stacks
R-stringi
R-stringr
R-tibble
R-tidyr
R-tidyselect
R-timeDate
R-timechange
R-tune
R-tzdb
R-utf8
R-vctrs
R-viridisLite
R-warp
R-withr
R-workflows
R-workflowsets
R-yardstick
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsXz) <= 5.2-1


Content of RPM :
/usr/lib64/R/library/viruslearner
/usr/lib64/R/library/viruslearner/DESCRIPTION
/usr/lib64/R/library/viruslearner/INDEX
/usr/lib64/R/library/viruslearner/LICENSE
/usr/lib64/R/library/viruslearner/Meta
/usr/lib64/R/library/viruslearner/Meta/Rd.rds
/usr/lib64/R/library/viruslearner/Meta/data.rds
/usr/lib64/R/library/viruslearner/Meta/features.rds
/usr/lib64/R/library/viruslearner/Meta/hsearch.rds
/usr/lib64/R/library/viruslearner/Meta/links.rds
/usr/lib64/R/library/viruslearner/Meta/nsInfo.rds
/usr/lib64/R/library/viruslearner/Meta/package.rds
/usr/lib64/R/library/viruslearner/Meta/vignette.rds
/usr/lib64/R/library/viruslearner/NAMESPACE
/usr/lib64/R/library/viruslearner/NEWS.md
/usr/lib64/R/library/viruslearner/R
/usr/lib64/R/library/viruslearner/R/viruslearner
/usr/lib64/R/library/viruslearner/R/viruslearner.rdb
/usr/lib64/R/library/viruslearner/R/viruslearner.rdx
/usr/lib64/R/library/viruslearner/data
/usr/lib64/R/library/viruslearner/data/Rdata.rdb
/usr/lib64/R/library/viruslearner/data/Rdata.rds
/usr/lib64/R/library/viruslearner/data/Rdata.rdx
/usr/lib64/R/library/viruslearner/doc
/usr/lib64/R/library/viruslearner/doc/art-adherence.R
/usr/lib64/R/library/viruslearner/doc/art-adherence.Rmd
/usr/lib64/R/library/viruslearner/doc/art-adherence.html
/usr/lib64/R/library/viruslearner/doc/cd-recovery.R
/usr/lib64/R/library/viruslearner/doc/cd-recovery.Rmd
/usr/lib64/R/library/viruslearner/doc/cd-recovery.html
There is 10 files more in these RPM.

 
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