Package: qpcR 1.4-1
Andrej-Nikolai Spiess
qpcR: Modelling and Analysis of Real-Time PCR Data
Model fitting, optimal model selection and calculation of various features that are essential in the analysis of quantitative real-time polymerase chain reaction (qPCR).
Authors:
qpcR_1.4-1.tar.gz
qpcR_1.4-1.tar.gz(r-4.5-noble)qpcR_1.4-1.tar.gz(r-4.4-noble)
qpcR_1.4-1.tgz(r-4.4-emscripten)qpcR_1.4-1.tgz(r-4.3-emscripten)
qpcR.pdf |qpcR.html✨
qpcR/json (API)
NEWS
# Install 'qpcR' in R: |
install.packages('qpcR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- b4 - The nonlinear/mechanistic models implemented in qpcR
- b5 - The nonlinear/mechanistic models implemented in qpcR
- b6 - The nonlinear/mechanistic models implemented in qpcR
- b7 - The nonlinear/mechanistic models implemented in qpcR
- batsch1 - The (published) datasets implemented in qpcR
- batsch2 - The (published) datasets implemented in qpcR
- batsch3 - The (published) datasets implemented in qpcR
- batsch4 - The (published) datasets implemented in qpcR
- batsch5 - The (published) datasets implemented in qpcR
- boggy - The (published) datasets implemented in qpcR
- cm3 - The nonlinear/mechanistic models implemented in qpcR
- competimer - The (published) datasets implemented in qpcR
- dil4reps94 - The (published) datasets implemented in qpcR
- dyemelt - The (published) datasets implemented in qpcR
- expGrowth - The nonlinear/mechanistic models implemented in qpcR
- expSDM - The nonlinear/mechanistic models implemented in qpcR
- guescini1 - The (published) datasets implemented in qpcR
- guescini2 - The (published) datasets implemented in qpcR
- htPCR - The (published) datasets implemented in qpcR
- karlen1 - The (published) datasets implemented in qpcR
- karlen2 - The (published) datasets implemented in qpcR
- karlen3 - The (published) datasets implemented in qpcR
- l4 - The nonlinear/mechanistic models implemented in qpcR
- l5 - The nonlinear/mechanistic models implemented in qpcR
- l6 - The nonlinear/mechanistic models implemented in qpcR
- l7 - The nonlinear/mechanistic models implemented in qpcR
- lievens1 - The (published) datasets implemented in qpcR
- lievens2 - The (published) datasets implemented in qpcR
- lievens3 - The (published) datasets implemented in qpcR
- lin2 - The nonlinear/mechanistic models implemented in qpcR
- linexp - The nonlinear/mechanistic models implemented in qpcR
- mak2 - The nonlinear/mechanistic models implemented in qpcR
- mak2i - The nonlinear/mechanistic models implemented in qpcR
- mak3 - The nonlinear/mechanistic models implemented in qpcR
- mak3i - The nonlinear/mechanistic models implemented in qpcR
- reps - The (published) datasets implemented in qpcR
- reps2 - The (published) datasets implemented in qpcR
- reps3 - The (published) datasets implemented in qpcR
- reps384 - The (published) datasets implemented in qpcR
- rutledge - The (published) datasets implemented in qpcR
- spl3 - The nonlinear/mechanistic models implemented in qpcR
- testdat - The (published) datasets implemented in qpcR
- vermeulen1 - The (published) datasets implemented in qpcR
- vermeulen2 - The (published) datasets implemented in qpcR
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:1242e5e373. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 14 2024 |
Exports:AICcakaike.weightscalibCy0effefficiencyevidenceexpcompexpfitfitchisqgetParis.outlierKODllratioLOF.testLREmaxRatiomeltcurvemidpointmodlistmselectparKODpcrbatchpcrbootpcrfitpcrGOFpcrimportpcrimport2pcropt1pcrsimPRESSpropagateqpcR.newsratiobatchratiocalcratioParrefmeanreplistresplotresVarRMSERsqRsq.adRSSsliwintakeoff
Dependencies:base64encbslibcachemcliDEoptimRdigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclemagrittrMASSMatrixmemoisemimeminpack.lmR6rappdirsrglrlangrmarkdownrobustbasesasstinytexxfunyaml