Package: fee 1.0.0
fee: Estimate the First-Exposure Effect (FEE) using Count Data Models
Estimates the first-exposure effect (FEE) using a one-inflated positive Poisson model, or a one-inflated zero-truncated negative binomial model. In addition, estimates the marginal FEE, and standard errors for the FEE and marginal FEE.
Authors:
fee_1.0.0.tar.gz
fee_1.0.0.zip(r-4.7)fee_1.0.0.zip(r-4.6)fee_1.0.0.zip(r-4.5)
fee_1.0.0.tgz(r-4.6-any)fee_1.0.0.tgz(r-4.5-any)
fee_1.0.0.tar.gz(r-4.7-any)fee_1.0.0.tar.gz(r-4.6-any)
fee_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fee/json (API)
NEWS
| # Install 'fee' in R: |
| install.packages('fee', repos = c('https://rtgodwin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rtgodwin/fee/issues
Last updated from:9f8d6e184e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 96 | ||
| source / vignettes | OK | 136 | ||
| linux-release-x86_64 | OK | 105 | ||
| macos-release-arm64 | OK | 78 | ||
| macos-oldrel-arm64 | OK | 90 | ||
| windows-devel | OK | 72 | ||
| windows-release | OK | 54 | ||
| windows-oldrel | OK | 62 | ||
| wasm-release | OK | 96 |
Dependencies:oneinfl
