Package: sclr 0.3.1
sclr: Scaled Logistic Regression
Maximum likelihood estimation of the scaled logit model parameters proposed in Dunning (2006) <doi:10.1002/sim.2282>.
Authors:
sclr_0.3.1.tar.gz
sclr_0.3.1.zip(r-4.5)sclr_0.3.1.zip(r-4.4)sclr_0.3.1.zip(r-4.3)
sclr_0.3.1.tgz(r-4.4-any)sclr_0.3.1.tgz(r-4.3-any)
sclr_0.3.1.tar.gz(r-4.5-noble)sclr_0.3.1.tar.gz(r-4.4-noble)
sclr_0.3.1.tgz(r-4.4-emscripten)sclr_0.3.1.tgz(r-4.3-emscripten)
sclr.pdf |sclr.html✨
sclr/json (API)
NEWS
| # Install 'sclr' in R: |
| install.packages('sclr', repos = c('https://khvorov45.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/khvorov45/sclr/issues
- one_titre_data - Simulated one-titre antibody data
- two_titre_data - Simulated two-titre antibody data
Last updated 5 years agofrom:6eafc54f0a. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | NOTE | Oct 31 2024 |
| R-4.5-linux | NOTE | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Exports:check_baselinefind_prot_titre_valget_protection_levelis_sclrnew_sclrsclrsclr_fitsclr_ideal_datasclr_log_likelihood
Dependencies:backportsbroomclicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check for baseline boundary | check_baseline |
| ML estimate components | coef.sclr confint.sclr logLik.sclr model.frame.sclr model.matrix.sclr vcov.sclr |
| Search function for scaled logit protection covariate levels | find_prot_titre_val |
| Protection level calculations | get_protection_level |
| Create a new 'sclr' object | is_sclr new_sclr |
| Simulated one-titre antibody data | one_titre_data |
| Predict method for scaled logit model x. | predict.sclr |
| Print a 'sclr' object. | print.sclr summary.sclr |
| Fits the scaled logit model | sclr |
| Fitter function for the scaled logit model | sclr_fit |
| Generate ideal data for the scaled logit model | sclr_ideal_data |
| Log-likelihood | sclr_log_likelihood |
| Tidy a 'sclr' object. | tidy.sclr |
| Simulated two-titre antibody data | two_titre_data |
