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:Ryan T. Godwin [aut, cre]

fee_1.0.0.tar.gz
fee_1.0.0.zip(r-4.7-any)fee_1.0.0.zip(r-4.6-any)fee_1.0.0.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
fee/json (API)

# 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

On CRAN:

Conda:

2.00 score 2 scripts 199 downloads 4 exports 1 dependencies

Last updated from:9f8d6e184e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK93
source / vignettesOK160
linux-releaseOK82
macos-releaseOK85
macos-oldrelOK86
windows-develOK59
windows-releaseOK54
windows-oldrelOK48
wasm-releaseOK78

Exports:dfeefeefeeplotfeepred

Dependencies:oneinfl