Package: predmicror 1.3.2


Vasco Cadavez
predmicror: Fitting Predictive Microbiology Models
Provides predictive microbiology model functions and convenience wrappers for fitting primary growth, microbial inactivation, dynamic, omnibus, and cardinal parameter models to experimental data using nonlinear least squares and related mixed-effects or time-varying workflows. Includes helper functions for extracting fitted values, calculating model diagnostics, and comparing fitted models. Implemented model families include those described by: Zwietering et al. (1990) <doi:10.1128/AEM.56.6.1875-1881.1990>, Baranyi and Roberts (1994) <doi:10.1016/0168-1605(94)90157-0>, Baranyi and Roberts (1995) <doi:10.1016/0168-1605(94)00121-L>, Buchanan et al. (1997) <doi:10.1006/fmic.1997.0125>, Richards (1959) <doi:10.1093/jxb/10.2.290>, Fang et al. (2012) <doi:10.1111/j.1750-3841.2012.02873.x>, Fang et al. (2013) <doi:10.1016/j.fm.2012.12.005>, Huang (2008) <doi:10.1111/j.1750-3841.2008.00785.x>, Huang (2009) <doi:10.1016/j.jfoodeng.2008.07.011>, Huang (2013) <doi:10.1016/j.foodcont.2012.11.019>, Geeraerd et al. (2005) <doi:10.1016/j.ijfoodmicro.2004.11.038>, van Boekel (2002) <doi:10.1016/S0168-1605(01)00742-5>, Peleg (1999) <doi:10.1016/S0963-9969(99)00081-2>, Mafart et al. (2002) <doi:10.1016/S0168-1605(01)00624-9>, Albert and Mafart (2005) <doi:10.1016/j.ijfoodmicro.2004.10.016>, Rosso et al. (1993) <doi:10.1006/jtbi.1993.1099>, Rosso et al. (1995) <doi:10.1128/AEM.61.2.610-616.1995>, and Rosso et al. (1996) <doi:10.4315/0362-028X-59.9.944>.
Authors:
predmicror_1.3.2.tar.gz
predmicror_1.3.2.zip(r-4.7-any)predmicror_1.3.2.zip(r-4.6-any)predmicror_1.3.2.zip(r-4.5-any)
predmicror_1.3.2.tgz(r-4.6-any)predmicror_1.3.2.tgz(r-4.5-any)
predmicror_1.3.2.tar.gz(r-4.7-any)predmicror_1.3.2.tar.gz(r-4.6-any)
predmicror_1.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
predmicror/json (API)
| # Install 'predmicror' in R: |
| install.packages('predmicror', repos = c('https://fsqanalytics.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fsqanalytics/predmicror/issues
Pkgdown/docs site:https://fsqanalytics.github.io
- aw - Data of aw
- bixina - Data concerning _Staphylococcus aureus_ microbial inactivation in beef
- growthfull - Data of a complete curve of microbial growth
- growthnolag - Data of a no lag curve of microbial growth
- growthred - Data of a reduced curve of microbial growth
- inh - Data of INH antimicrobials
- mafart2005Li11 - Data of microbial inactivation Albert and Mafart
- ph - Data pH
- salmonella - Potential growth of _Salmonella typhimurium_ on cooked chicken
cardinal-modelsgrowth-curvesinactivation-models
Last updated from:8b11822915. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 152 | ||
| source / vignettes | OK | 434 | ||
| linux-release | OK | 172 | ||
| macos-release | OK | 222 | ||
| macos-oldrel | OK | 207 | ||
| windows-devel | OK | 133 | ||
| windows-release | OK | 111 | ||
| windows-oldrel | OK | 122 | ||
| wasm-release | OK | 128 |
Exports:accuracy_factorBaranyiFMBaranyiRMbias_factorBuchananRMCMAWCMInhCMPHCMTIcompare_modelsdynamic_profiledynamic_sensitivityFangNLMfit_cardinalfit_dynamic_growthfit_dynamic_inactivationfit_growthfit_inactivationfit_metricsfit_omnibusfit_omnibus_growthfit_omnibus_inactivationGeeraerdSTHuangFMHuangNLMHuangRGSHuangRMomnibus_secondarypredict_dynamic_growthpredict_dynamic_inactivationpredmicror_assistantpredmicror_assistant_apppredmicror_augmentpredmicror_modelsRichardsNLMRossoFMvalidate_omnibus_leave_one_outWeibullMWeibullMMWeibullPHZwieteringFM
Last update: 2026-06-05
Started: 2022-06-28
Last update: 2026-06-04
Started: 2026-05-31
Last update: 2026-06-04
Started: 2022-06-28
Last update: 2026-06-04
Started: 2026-05-31
Last update: 2026-06-04
Started: 2026-06-04
Last update: 2026-06-04
Started: 2026-06-04
Last update: 2026-05-30
Started: 2026-05-30
Last update: 2026-05-30
Started: 2026-05-30
