parsnip: A Common API to Modeling and Analysis Functions

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

Max Kuhn • Davis Vaughan • Emil Hvitfeldt • Posit Software • View description and downloads View dependencies GitHub project

2018 Published

1.2.1 Version

0 Citations

4 Authors

Referenced by ⇅	Year
kmscv: K-Means Based Stratified Resampling (Version 0.1.0)	2022
modeltime.gluonts: "GluonTS" Deep Learning (Version 0.1.0)	2020
modeltime.h2o: Modeltime "H2O" Machine Learning (Version 0.1.1)	2021
viruslearner: Ensemble Learning for HIV-Related Metrics (Version 0.0.2)	2024
broom.helpers: Helpers for Model Coefficients Tibbles (Version 1.17.0)	2020
bundle: Serialize Model Objects with a Consistent Interface (Version 0.1.2)	2022
butcher: Model Butcher (Version 0.3.4)	2019
LorenzRegression: Lorenz and Penalized Lorenz Regressions (Version 2.1.0)	2023
MLDataR: Collection of Machine Learning Datasets for Supervised Machine Learning (Version 1.0.1)	2022
MachineShop: Machine Learning Models and Tools (Version 3.8.0)	2018
SSLR: Semi-Supervised Classification, Regression and Clustering Methods (Version 0.9.3.3)	2020
TrialEmulation: Causal Analysis of Observational Time-to-Event Data (Version 0.0.4.0)	2023
additive: Bindings for Additive TidyModels (Version 1.0.1)	2021
agua: 'tidymodels' Integration with 'h2o' (Version 0.1.4)	2022
autostats: Auto Stats (Version 0.4.1)	2021
baguette: Efficient Model Functions for Bagging (Version 1.0.2)	2020
bayesian: Bindings for Bayesian TidyModels (Version 1.0.1)	2021
bonsai: Model Wrappers for Tree-Based Models (Version 0.3.1)	2022
card: Cardiovascular Applications in Research Data (Version 0.1.1)	2020
censored: 'parsnip' Engines for Survival Models (Version 0.3.2)	2022
coefplot: Plots Coefficients from Fitted Models (Version 1.2.8)	2011
condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)	2019
cuda.ml: R Interface for the RAPIDS cuML Suite of Libraries (Version 0.3.2)	2021
discrim: Model Wrappers for Discriminant Analysis (Version 1.0.1)	2019
easyalluvial: Generate Alluvial Plots with a Single Line of Code (Version 0.3.2)	2018
easysurv: Simplify Survival Data Analysis and Model Fitting (Version 2.0.1)	2024
effectsize: Indices of Effect Size (Version 1.0.0)	2019
fastml: Fast Machine Learning Model Training and Evaluation (Version 0.2.0)	2024
finetune: Additional Functions for Model Tuning (Version 1.2.0)	2020
finnts: Microsoft Finance Time Series Forecasting Framework (Version 0.5.0)	2022
forestControl: Approximate False Positive Rate Control in Selection Frequency for Random Forest (Version 0.2.2)	2018
ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 2.0.0)	2017
gtsummary: Presentation-Ready Data Summary and Analytic Result Tables (Version 2.0.4)	2019
healthyR.ai: The Machine Learning and AI Modeling Companion to 'healthyR' (Version 0.1.0)	2021
healthyR.ts: The Time Series Modeling Companion to 'healthyR' (Version 0.3.1)	2021
imputeGeneric: Ease the Implementation of Imputation Methods (Version 0.1.0)	2022
infer: Tidy Statistical Inference (Version 1.0.7)	2018
insight: Easy Access to Model Information for Various Model Objects (Version 1.0.0)	2019
ldmppr: Estimate and Simulate from Location Dependent Marked Point Processes (Version 1.0.3)	2024
lnmixsurv: Bayesian Mixture Log-Normal Survival Model (Version 3.1.6)	2024
marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.24.0)	2021
mmrm: Mixed Models for Repeated Measures (Version 0.3.14)	2022
modeltime.resample: Resampling Tools for Time Series Forecasting (Version 0.2.3)	2020
modeltime: The Tidymodels Extension for Time Series Modeling (Version 1.3.1)	2020
multilevelmod: Model Wrappers for Multi-Level Models (Version 1.0.0)	2022
nestedmodels: Tidy Modelling for Nested Data (Version 1.1.0)	2022
offsetreg: An Extension of 'Tidymodels' Supporting Offset Terms (Version 1.1.0)	2024
orbital: Predict with 'tidymodels' Workflows in Databases (Version 0.2.0)	2024
plsmod: Model Wrappers for Projection Methods (Version 1.0.0)	2020
poissonreg: Model Wrappers for Poisson Regression (Version 1.0.1)	2020
ppsr: Predictive Power Score (Version 0.0.5)	2021
probably: Tools for Post-Processing Predicted Values (Version 1.0.3)	2018
recipes: Preprocessing and Feature Engineering Steps for Modeling (Version 1.1.0)	2017
rules: Model Wrappers for Rule-Based Models (Version 1.0.2)	2020
shinymodels: Interactive Assessments of Models (Version 0.1.1)	2021
sparklyr: R Interface to Apache Spark (Version 1.8.6)	2016
stacks: Tidy Model Stacking (Version 1.0.5)	2020
survex: Explainable Machine Learning in Survival Analysis (Version 1.2.0)	2022
tabnet: Fit 'TabNet' Models for Classification and Regression (Version 0.6.0)	2021
text: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning (Version 1.3.0)	2020
tidyAML: Automatic Machine Learning with 'tidymodels' (Version 0.0.5)	2023
tidyclust: A Common API to Clustering (Version 0.2.3)	2022
tidydann: Add the 'dann' Model and the 'sub_dann' Model to the Tidymodels Ecosystem (Version 1.0.0)	2023
tidymodels: Easily Install and Load the 'Tidymodels' Packages (Version 1.2.0)	2018
tidyposterior: Bayesian Analysis to Compare Models using Resampling Statistics (Version 1.0.1)	2017
tidypredict: Run Predictions Inside the Database (Version 0.5)	2018
tidysdm: Species Distribution Models with Tidymodels (Version 0.9.5)	2023
timetk: A Tool Kit for Working with Time Series (Version 2.9.0)	2017
tune: Tidy Tuning Tools (Version 1.2.1)	2020
vetiver: Version, Share, Deploy, and Monitor Models (Version 0.2.5)	2021
vip: Variable Importance Plots (Version 0.4.1)	2018
viraldomain: Applicability Domain Methods of Viral Load and CD4 Lymphocytes (Version 0.0.6)	2023
viralmodels: Viral Load and CD4 Lymphocytes Regression Models (Version 1.3.1)	2023
viralx: Explainers for Regression Models in HIV Research (Version 1.3.0)	2023
workflows: Modeling Workflows (Version 1.1.4)	2019
workflowsets: Create a Collection of 'tidymodels' Workflows (Version 1.1.0)	2021

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