Package: nestedLogit 0.3.3
nestedLogit: Nested Dichotomy Logistic Regression Models
Provides functions for specifying and fitting nested dichotomy logistic regression models for a multi-category response and methods for summarising and plotting those models. Nested dichotomies are statistically independent, and hence provide an additive decomposition of tests for the overall 'polytomous' response. When the dichotomies make sense substantively, this method can be a simpler alternative to the standard 'multinomial' logistic model which compares response categories to a reference level. See: J. Fox (2016), "Applied Regression Analysis and Generalized Linear Models", 3rd Ed., ISBN 1452205663.
Authors:
nestedLogit_0.3.3.tar.gz
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nestedLogit.pdf |nestedLogit.html✨
nestedLogit/json (API)
NEWS
| # Install 'nestedLogit' in R: |
| install.packages('nestedLogit', repos = c('https://friendly.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/friendly/nestedlogit/issues
- GSS - Data From the U.S. General Social Survey 1972-2016
- HealthInsurance - Choice of Health Insurance Product
logistic-regressionmultinomial-logistic-regressionpolytomous-variables
Last updated 6 months agofrom:261d84632d. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-win | OK | Nov 02 2024 |
| R-4.5-linux | OK | Nov 02 2024 |
| R-4.4-win | OK | Nov 02 2024 |
| R-4.4-mac | OK | Nov 02 2024 |
| R-4.3-win | OK | Nov 02 2024 |
| R-4.3-mac | OK | Nov 02 2024 |
Exports:as.dichotomiescontinuationLogitsdichotomylogitsmodelsnestedLogit
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DBIDerivdoBydplyreffectsestimabilityfansifarverFormulagenericsggplot2gluegtableinsightisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamitoolsmodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalesSparseMstringistringrsurveysurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Nested-dichotomies logistic regression models
Rendered fromnestedLogit.Rmdusingknitr::rmarkdownon Nov 02 2024.Last update: 2023-06-22
Started: 2023-05-08
Plotting nestedLogit models with ggplot2
Rendered fromplotting-ggplot.Rmdusingknitr::rmarkdownon Nov 02 2024.Last update: 2024-06-03
Started: 2023-05-28
Standard Errors of Fitted Category Probabilities by the Delta Method for the Nested Logit Model
Rendered fromstandard-errors.Rmdusingknitr::rmarkdownon Nov 02 2024.Last update: 2023-05-30
Started: 2023-05-27
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Convert a Predicted Objects to a data.frame | as.data.frame.predictNestedLogit |
| Broom Related Methods | broomMethods glance.nestedLogit tidy.nestedLogit |
| Effect Displays for Nested Logit Models | Effect.nestedLogit |
| Data From the U.S. General Social Survey 1972-2016 | GSS |
| Choice of Health Insurance Product | HealthInsurance |
| Extract Binary Logit Models from a 'nestedLogit' Object | models models.nestedLogit |
| Hypothesis-Testing and Related Methods for '"nestedLogit"' Objects | Anova.nestedLogit anova.nestedLogit linearHypothesis.nestedLogit logLik.nestedLogit nestedHypotheses print.Anova.nestedLogit print.anova.nestedLogit |
| Binary Logit Models for Nested Dichotomies | continuationLogits dichotomy logits nestedLogit |
| Methods for '"nestedLogit"' and Related Objects | as.character.dichotomies as.dichotomies as.dichotomies.matrix as.matrix.continuationDichotomies as.matrix.dichotomies coef.nestedLogit confint.predictNestedLogit fitted.nestedLogit nestedMethods predict.nestedLogit print.dichotomies print.nestedLogit print.predictDichotomies print.predictNestedLogit print.summary.nestedLogit summary.nestedLogit update.nestedLogit vcov.nestedLogit |
| Plotting Nested Logit Models | plot.nestedLogit |
