Package: misclassGLM 0.3.6
misclassGLM: Computation of Generalized Linear Models with Misclassified Covariates Using Side Information
Estimates models that extend the standard GLM to take misclassification into account. The models require side information from a secondary data set on the misclassification process, i.e. some sort of misclassification probabilities conditional on some common covariates. A detailed description of the algorithm can be found in Dlugosz, Mammen and Wilke (2015) <https://ftp.zew.de/pub/zew-docs/dp/dp15043.pdf>.
Authors:
misclassGLM_0.3.6.tar.gz
misclassGLM_0.3.6.zip(r-4.7)misclassGLM_0.3.6.zip(r-4.6)misclassGLM_0.3.6.zip(r-4.5)
misclassGLM_0.3.6.tgz(r-4.6-x86_64)misclassGLM_0.3.6.tgz(r-4.6-arm64)misclassGLM_0.3.6.tgz(r-4.5-x86_64)misclassGLM_0.3.6.tgz(r-4.5-arm64)
misclassGLM_0.3.6.tar.gz(r-4.7-arm64)misclassGLM_0.3.6.tar.gz(r-4.7-x86_64)misclassGLM_0.3.6.tar.gz(r-4.6-arm64)misclassGLM_0.3.6.tar.gz(r-4.6-x86_64)
misclassGLM_0.3.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
misclassGLM/json (API)
| # Install 'misclassGLM' in R: |
| install.packages('misclassGLM', repos = c('https://sdlugosz.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:ec74291cbc. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 117 | ||
| linux-devel-x86_64 | OK | 124 | ||
| source / vignettes | OK | 185 | ||
| linux-release-arm64 | OK | 117 | ||
| linux-release-x86_64 | OK | 115 | ||
| macos-release-arm64 | OK | 118 | ||
| macos-release-x86_64 | OK | 217 | ||
| macos-oldrel-arm64 | OK | 84 | ||
| macos-oldrel-x86_64 | OK | 185 | ||
| windows-devel | OK | 101 | ||
| windows-release | OK | 77 | ||
| windows-oldrel | OK | 87 | ||
| wasm-release | OK | 98 |
Exports:boot.misclassGLMboot.misclassMlogitmfx.misclassGLMmfx.misclassMlogitmisclassGLMmisclassMlogitsimulate_GLM_datasetsimulate_mlogit_dataset
Dependencies:codetoolsdfidxforeachFormulaiteratorslatticelmtestMASSMatrixmlogitnumDerivrbibutilsRdpackstatmoducminfzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute Bootstrapped Standard Errors for 'misclassGLM' Fits | boot.misclassGLM |
| Compute Bootstrapped Standard Errors for 'misclassMlogit' Fits | boot.misclassMlogit |
| Compute Marginal Effects for 'misclassGLM' Fits | mfx.misclassGLM |
| Compute Marginal Effects for 'misclassMlogit' Fits | mfx.misclassMlogit |
| GLM estimation under misclassified covariate | misclassGLM |
| Mlogit estimation under misclassified covariate | misclassMlogit |
| Predict Method for 'misclassGLM' Fits | predict.misclassGLM |
| Predict Method for 'misclassMlogit' Fits | predict.misclassMlogit |
| Simulate a Data Set to Use With 'misclassGLM' | simulate_GLM_dataset |
| Simulate a Data Set to Use With 'misclassMlogit' | simulate_mlogit_dataset |
