Package: krm 2022.10-17
krm: Kernel Based Regression Models
Implements several methods for testing the variance component parameter in regression models that contain kernel-based random effects, including a maximum of adjusted scores test. Several kernels are supported, including a profile hidden Markov model mutual information kernel for protein sequence. This package is described in Fong et al. (2015) <doi:10.1093/biostatistics/kxu056>.
Authors:
krm_2022.10-17.tar.gz
krm_2022.10-17.zip(r-4.5)krm_2022.10-17.zip(r-4.4)krm_2022.10-17.zip(r-4.3)
krm_2022.10-17.tgz(r-4.4-x86_64)krm_2022.10-17.tgz(r-4.4-arm64)krm_2022.10-17.tgz(r-4.3-x86_64)krm_2022.10-17.tgz(r-4.3-arm64)
krm_2022.10-17.tar.gz(r-4.5-noble)krm_2022.10-17.tar.gz(r-4.4-noble)
krm_2022.10-17.tgz(r-4.4-emscripten)krm_2022.10-17.tgz(r-4.3-emscripten)
krm.pdf |krm.html✨
krm/json (API)
# Install 'krm' in R: |
install.packages('krm', repos = c('https://youyifong.r-universe.dev', 'https://cloud.r-project.org')) |
- aa.prop.list - Amino Acid Properties
- cloud9 - 9-Component Mixture Dirichlet Prior for Protein Sequences
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:96e5c5c18e. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win-x86_64 | OK | Nov 06 2024 |
R-4.5-linux-x86_64 | OK | Nov 06 2024 |
R-4.4-win-x86_64 | OK | Nov 06 2024 |
R-4.4-mac-x86_64 | OK | Nov 06 2024 |
R-4.4-mac-aarch64 | OK | Nov 06 2024 |
R-4.3-win-x86_64 | OK | Nov 06 2024 |
R-4.3-mac-x86_64 | OK | Nov 06 2024 |
R-4.3-mac-aarch64 | OK | Nov 06 2024 |
Exports:aa2arabicalignment2countalignment2trancountarabic2arabicFilearabic2fastaFilecalcPairwiseIdentitychi.normddirichletdmdirichletfastaFile2arabicFilegetSeqKernelhmmMargLlikkrm.mostkrm.score.testlogIntegrateDirichletlogIntegrateMixDirichletmodifyDirichletrdirichletreadArabicFilereadBlockFilereadFastaFilereadPriorFromFilereadSelexAsMatrixreadSelexFileremoveGaprmdirichletselexFile2arabicFilesim.liu.2007sim.liu.2008string2arabicstringList2arabicFilewriteFastaFile
Dependencies:kyotil
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Amino Acid Properties | aa.prop.list |
Functions Related to Sequence Alignment | alignment2count alignment2trancount calcPairwiseIdentity removeGap |
A Transformation of Chi-squared Random Variable | chi.norm |
9-Component Mixture Dirichlet Prior for Protein Sequences | cloud9 |
Functions related to mixture Dirichlet distribution | ddirichlet dmdirichlet logIntegrateDirichlet logIntegrateMixDirichlet modifyDirichlet rdirichlet rmdirichlet |
Protein Sequence Kernels | getSeqKernel |
Functions related to profile HMM | hmmMargLlik readPriorFromFile |
Kernel-based Regression Models | krm |
Kernel-based Regression Model Maximum of adjusted Score Test | krm.most |
Adjusted Score Test | krm.score.test |
Read a Fasta Sequence File | aa2arabic arabic2arabicFile arabic2fastaFile fastaFile2arabicFile readArabicFile readBlockFile readFastaFile readSelexAsMatrix readSelexFile selexFile2arabicFile string2arabic stringList2arabicFile writeFastaFile |
Simulate sDataset | sim.liu.2007 sim.liu.2008 |