dfidx: Indexed Data Frames

Canonical link: https://rscholar.com/pkg/dfidx

Yves Croissant • View description and downloads View dependencies GitHub project

2020 Published

0 Citations

1 Authors

6 Revisions

0.2-0 Version

GPL-2 License

Referenced by ⇅	Year
discrtr: A Companion Package for the Book "Discrete Choice Analysis with 'R'" (Version 0.0.1)	2023
ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 2.3.2)	2017
marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.31.0)	2021
pleLMA: Pseudo-Likelihood Estimation of Log-Multiplicative Association Models (Version 0.2.2)	2021
DCEtool: Efficient and Accessible Discrete Choice Experiments (Version 1.2.1)	2021
ExactMed: Exact Mediation Analysis for Binary Outcomes (Version 0.3.0)	2022
Ravages: Rare Variant Analysis and Genetic Simulations (Version 1.1.3)	2020
WeightIt: Weighting for Covariate Balance in Observational Studies (Version 1.5.1)	2017
clusterSEs: Calculate Cluster-Robust p-Values and Confidence Intervals (Version 2.6.5)	2015
discrtr 'R'": (Version )	0
glm.predict: Predicted Values and Discrete Changes for Regression Models (Version 4.3-2)	2016
gofcat: Goodness-of-Fit Measures for Categorical Response Models (Version 0.1.2)	2022
idefix: Efficient Designs for Discrete Choice Experiments (Version 1.1.0)	2017
marginaleffects Tests: (Version )	0
micsr: Microeconometrics with R (Version 0.1-4)	2024
mlogit: Multinomial Logit Models (Version 1.1-3)	2008
multpois: Analyze Nominal Response Data with the Multinomial-Poisson Trick (Version 0.3.3)	2024
pleLMA Models: (Version )	0
seqimpute: Imputation of Missing Data in Sequence Analysis (Version 2.2.1)	2022
tidydfidx: Indexed 'tibble' and Methods for 'dplyr' (Version 0.0-1)	2025

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.