Package: DiSSMod 1.0.0
DiSSMod: Fitting Sample Selection Models for Discrete Response Variables
Tools to fit sample selection models in case of discrete response variables, through a parametric formulation which represents a natural extension of the well-known Heckman selection model are provided in the package. The response variable can be of Bernoulli, Poisson or Negative Binomial type. The sample selection mechanism allows to choose among a Normal, Logistic or Gumbel distribution.
Authors:
DiSSMod_1.0.0.tar.gz
DiSSMod_1.0.0.zip(r-4.7)DiSSMod_1.0.0.zip(r-4.6)DiSSMod_1.0.0.zip(r-4.5)
DiSSMod_1.0.0.tgz(r-4.6-any)DiSSMod_1.0.0.tgz(r-4.5-any)
DiSSMod_1.0.0.tar.gz(r-4.7-any)DiSSMod_1.0.0.tar.gz(r-4.6-any)
DiSSMod_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DiSSMod/json (API)
| # Install 'DiSSMod' in R: |
| install.packages('DiSSMod', repos = c('https://sangkyustat.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:e5d62da180. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 125 | ||
| source / vignettes | OK | 127 | ||
| linux-release-x86_64 | OK | 120 | ||
| macos-release-arm64 | OK | 128 | ||
| macos-oldrel-arm64 | OK | 162 | ||
| windows-devel | OK | 119 | ||
| windows-release | OK | 93 | ||
| windows-oldrel | OK | 111 | ||
| wasm-release | OK | 95 |
Exports:DiSSMod
Dependencies:GPArotationlatticeMASSmatrixcalcmnormtnlmepsychsfsmisc
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Getting Coefficients of Discrete Sample Selection Model Fits | coef.DiSSMod |
| Getting Confidence Intervals for Parameters of Discrete Sample Selection Model Fits | confint.DiSSMod |
| Credit cards derogatory reports data | CreditMDR |
| Fitting Sample Selection Models for Discrete Response Variables | DiSSMod |
| German doctor first visits data | DoctorRWM |
| Relative Log Likelihood Plot for Discrete Sample Selection Model Fits | plot.DiSSMod |
| Summarizing Discrete Sample Selection Model Fits | print.summary.DiSSMod summary.DiSSMod |
