amices / mice
Multivariate Imputation by Chained Equations
β463Updated last week
Alternatives and similar repositories for mice:
Users that are interested in mice are comparing it to the libraries listed below
- iml: interpretable machine learning R packageβ498Updated 2 months ago
- Feature Extraction And Statistics for Time Seriesβ302Updated last week
- π Interactive Studio for Explanatory Model Analysisβ332Updated last year
- DOCUMENTATION:β126Updated last month
- Utilities for analyzing Bayesian models and posterior distributionsβ582Updated this week
- An R package for working with causal directed acyclic graphs (DAGs)β446Updated 3 weeks ago
- Variable Importance Plots (VIPs)β187Updated last year
- Tidy methods for measuring model performanceβ388Updated 2 weeks ago
- Explaining the output of machine learning models with more accurately estimated Shapley valuesβ158Updated last week
- A tidy unified interface to modelsβ620Updated 2 weeks ago
- bayesplot R package for plotting Bayesian modelsβ436Updated last week
- Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Presβ¦β260Updated 3 weeks ago
- Survival package for Rβ402Updated 4 months ago
- Current version of the SuperLearner R packageβ275Updated last year
- Tidy time series forecastingβ569Updated 5 months ago
- Pipeable steps for feature engineering and data preprocessing to prepare for modelingβ590Updated 2 weeks ago
- R Interface to Torchβ528Updated 2 weeks ago
- Regression Modeling Strategiesβ185Updated this week
- Tools for tidy parameter tuningβ301Updated last week
- Apply Mapping Functions in Parallel using Futuresβ722Updated 2 months ago
- an R package for structural equation modeling and moreβ459Updated last week
- Data table backend for dplyrβ672Updated 3 months ago
- R package that extends ggplot2β598Updated 11 months ago
- Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional componβ¦β12Updated 2 years ago
- rstanarm R package for Bayesian applied regression modelingβ394Updated last month
- mlr3: Machine Learning in R - next generationβ990Updated this week
- Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2β593Updated 2 weeks ago
- R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 clasβ¦β524Updated this week
- Bayesian analysis + tidy data + geoms (R package)β737Updated 7 months ago
- An R package for tidy stacked ensemble modelingβ301Updated last week