Package: qountstat 0.1.1
Benjamin Daniels
qountstat: Statistical Analysis of Count Data and Quantal Data
Methods for statistical analysis of count data and quantal data. For the analysis of count data an implementation of the Closure Principle Computational Approach Test ("CPCAT") is provided (Lehmann, R et al. (2016) <doi:10.1007/s00477-015-1079-4>), as well as an implementation of a "Dunnett GLM" approach using a Quasi-Poisson regression (Hothorn, L, Kluxen, F (2020) <doi:10.1101/2020.01.15.907881>). For the analysis of quantal data an implementation of the Closure Principle Fisher–Freeman–Halton test ("CPFISH") is provided (Lehmann, R et al. (2018) <doi:10.1007/s00477-017-1392-1>). P-values and no/lowest observed (adverse) effect concentration values are calculated. All implemented methods include further functions to evaluate the power and the minimum detectable difference using a bootstrapping approach.
Authors:
qountstat_0.1.1.tar.gz
qountstat_0.1.1.tar.gz(r-4.5-noble)qountstat_0.1.1.tar.gz(r-4.4-noble)
qountstat_0.1.1.tgz(r-4.4-emscripten)qountstat_0.1.1.tgz(r-4.3-emscripten)
qountstat.pdf |qountstat.html✨
qountstat/json (API)
| # Install 'qountstat' in R: |
| install.packages('qountstat', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- CPFISH.contingency.table - CPFISH.contingency.table is a dataset to showcase analyses with CPFISH
- Daphnia.counts - Daphnia.counts is a dataset to showcase analyses with CPCAT and Dunnett.GLM
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 hours agofrom:717ec49e27. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 21 2025 |
| R-4.5-linux | OK | Feb 21 2025 |
Exports:CPCATCPCAT.bMDDCPCAT.powerCPFISHCPFISH.bMDDCPFISH.powerDunnett.GLMDunnett.GLM.bMDDDunnett.GLM.power
Dependencies:codetoolslatticeMASSMatrixmultcompmvtnormsandwichsurvivalTH.datazoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CP hypotheses | CP.hypotheses |
| CPCAT | CPCAT |
| CPCAT bootstrap MDD (bMDD) | CPCAT.bMDD |
| CPCAT Poisson sub-test | CPCAT.Poisson.sub.test |
| CPCAT Poisson test | CPCAT.Poisson.test |
| CPCAT power | CPCAT.power |
| CPFISH | CPFISH |
| CPFISH bootstrap MDD (bMDD) | CPFISH.bMDD |
| CPFISH.contingency.table is a dataset to showcase analyses with CPFISH | CPFISH.contingency.table |
| CPFISH power | CPFISH.power |
| Daphnia.counts is a dataset to showcase analyses with CPCAT and Dunnett.GLM | Daphnia.counts |
| Dunnett.GLM | Dunnett.GLM |
| Dunnett.GLM bootstrap MDD (bMDD) | Dunnett.GLM.bMDD |
| Dunnett.GLM power | Dunnett.GLM.power |
| Multi-group test bMDD | Multi.group.test.bMDD |
| Multi-group test power | Multi.group.test.power |