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To run data analysis for enzyme-link immunosorbent assays (ELISAs). Either the five- or four-parameter logistic model will be fitted for data of single ELISA. Moreover, the batch effect correction/normalization will be carried out, when there are more than one batches of ELISAs. Feng (2018) <doi:10.1101/483800>.
| Version: | 0.1.5 |
| Depends: | R (≥ 3.4.0), R2HTML (≥ 2.3.2), stringi (≥ 1.1.7), minpack.lm (≥ 1.2-1), methods |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-01-21 |
| DOI: | 10.32614/CRAN.package.ELISAtools |
| Author: | Feng Feng [aut, cre] |
| Maintainer: | Feng Feng <ffeng at BU.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | ELISAtools results |
| Reference manual: | ELISAtools.pdf |
| Vignettes: |
ELISAtools Package Vignette |
| Package source: | ELISAtools_0.1.5.tar.gz |
| Windows binaries: | r-devel: ELISAtools_0.1.5.zip, r-release: ELISAtools_0.1.5.zip, r-oldrel: ELISAtools_0.1.5.zip |
| macOS binaries: | r-release (arm64): ELISAtools_0.1.5.tgz, r-oldrel (arm64): ELISAtools_0.1.5.tgz, r-release (x86_64): ELISAtools_0.1.5.tgz, r-oldrel (x86_64): ELISAtools_0.1.5.tgz |
| Old sources: | ELISAtools archive |
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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.