devel:languages:R:autoCRAN Large parts of CRAN (cran.r-project.org) mirrored to OBS in a fully automatic way. This repo contains a large part of CRAN automatically converted to rpm packages. *ALL* packages in the repo are created and kept uptodate(!) in a fully automatic way using the R package CRAN2OBS (gitlab.com/dsteuer/CRAN2OBS). At the moment CRAN2OBS is still subject to many changes, but it already works well enough to bring about 15k packages from CRAN to Suse. If you find packages not working, please contact me. Do not push packages here by hand after manually altering anything in a spec file, please. If you find an important package still missing, send a note, please. May be it is easy to add fitting rules to the scripts. Attention: there are Prefer: lines in the project config. Should be rechecked from time to time. https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/ devel:languages:R:autoCRANsupp Supplements for the autoCRAN project autoCRANsupp contains *only* - libraries needed to build a worthy number of R packages that are not in factory/tumbleweed, i.e. udunits2-1 - a link to d:l:R:released/R-base to provide newer versions for older SuSE releases. A lot of packages need the latest R. This project will be as small as possible. In a best case scenario only R-base will remain here to be included for building autoCRAN. https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRANsupp/openSUSE_Leap_15.3/ openSUSE:Leap:15.3 openSUSE Leap borrows packages from SLE. The content of the build media is almost the same as Leap:15.2, but the development is drastic different. It includes the binaries (instead of the sources) directly from SLE. https://lists.opensuse.org/opensuse-factory/2020-04/msg00165.html https://download.opensuse.org/distribution/leap/15.3/repo/oss/ openSUSE:Backports:SLE-15-SP3 Backports for SLE-15-SP3 Backports for SLE-15-SP3 https://download.opensuse.org/repositories/openSUSE:/Backports:/SLE-15-SP3/standard/ SUSE:SLE-15-SP3:GA https://download.opensuse.org/repositories/SUSE:/SLE-15-SP3:/GA/pool/ SUSE:SLE-15-SP2:Update SLE 15 SP2 SLE 15 SP2 https://download.opensuse.org/update/leap/15.3/sle SUSE:SLE-15-SP2:GA SLE 15 SP2 SLE 15 SP2 https://download.opensuse.org/repositories/SUSE:/SLE-15-SP2:/GA/pool/ SUSE:SLE-15-SP1:Update SLE 15 SP1 SLE 15 SP1 https://download.opensuse.org/update/leap/15.3/sle SUSE:SLE-15-SP1:GA SLE 15 SP1 SLE 15 SP1 https://download.opensuse.org/repositories/SUSE:/SLE-15-SP1:/GA/pool/ SUSE:SLE-15:Update SLE 15 SLE 15 https://download.opensuse.org/update/leap/15.3/sle SUSE:SLE-15:GA SLE 15 SLE 15 https://download.opensuse.org/repositories/SUSE:/SLE-15:/GA/pool/ R-Rcurvep Concentration-Response Data Analysis using Curvep Provide an R interface for processing concentration-response datasets using Curvep, a response noise filtering algorithm. The algorithm was described in the publications (Sedykh A et al. (2011) <doi:10.1289/ehp.1002476> and Sedykh A (2016) <doi:10.1007/978-1-4939-6346-1_14>). Other parametric fitting approaches (e.g., Hill equation) are also adopted for ease of comparison. Also, methods for calculating the confidence interval around the activity metrics are also provided. The methods are based on the bootstrap approach to simulate the datasets (Hsieh J-H et al. <doi:10.1093/toxsci/kfy258>). The simulated datasets can be used to derive the baseline noise threshold in an assay endpoint. This threshold is critical in the toxicological studies to derive the point-of-departure (POD).