Package: nestedmodels 1.1.0.9000

nestedmodels: Tidy Modelling for Nested Data

A modelling framework for nested data using the 'tidymodels' ecosystem. Specify how to nest data using the 'recipes' package, create testing and training splits using 'rsample', and fit models to this data using the 'parsnip' and 'workflows' packages. Allows any model to be fit to nested data.

Authors:Ashby Thorpe [aut, cre], Hadley Wickham [ctb]

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nestedmodels.pdf |nestedmodels.html✨
nestedmodels/json (API)
NEWS

# Install 'nestedmodels' in R:

install.packages('nestedmodels', repos = c('https://ashbythorpe.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ashbythorpe/nestedmodels/issues

Datasets:

example_nested_data - Example nested data

On CRAN:

5.53 score 12 stars 14 scripts 946 downloads 13 exports 74 dependencies

Last updated 1 years agofrom:54207bb4eb. Checks:OK: 5 NOTE: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 23 2024
R-4.5-win	NOTE	Nov 23 2024
R-4.5-linux	NOTE	Nov 23 2024
R-4.4-win	OK	Nov 23 2024
R-4.4-mac	OK	Nov 23 2024
R-4.3-win	OK	Nov 23 2024
R-4.3-mac	OK	Nov 23 2024

Exports:%>%augment extract_inner_model fit fit_xy fit_xy.nested_model glance glance_nested is_nested nested nested_resamples step_nest tidy

Dependencies:class cli clock codetools colorspace cpp11 data.table diagram digest dplyr fansi farver foreach furrr future future.apply generics ggplot2 globals glue gower gtable hardhat ipred isoband iterators KernSmooth labeling lattice lava lifecycle listenv lubridate magrittr MASS Matrix mgcv munsell nlme nnet numDeriv parallelly parsnip pillar pkgconfig prettyunits prodlim progressr purrr R6 RColorBrewer Rcpp recipes rlang rpart rsample scales shape slider SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tzdb utf8 vctrs viridisLite warp withr

Getting started with nestedmodels

Rendered fromnestedmodels.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2023-03-16
Started: 2022-09-19

Nestedmodels Limitations

Rendered fromnestedmodels-limitations.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2022-10-06
Started: 2022-09-28

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Augment data with predictions	augment.nested_model_fit
Create a set of ggplots for a nested model object	autoplot.nested_model_fit
Example nested data	example_nested_data
Get the inner model of a nested model object	extract_inner_model extract_inner_model.default extract_inner_model.model_spec extract_inner_model.nested_model extract_inner_model.workflow
Fit a nested model to a dataset using an xy interface.	fit_xy.nested_model
Fit a nested model to a dataset	fit.nested_model
Nested model predictions across many sub-models	multi_predict.nested_model_fit
Create a Nested Model	is_nested is_nested.default is_nested.model_spec is_nested.workflow nested nested.default nested.model_spec nested.nested_model nested.workflow
Create splits with nested data	nested_resamples
Nested Model Predictions	predict.nested_model_fit predict_raw.nested_model_fit
Nest transformation	step_nest
Turn a nested model into a tidy tibble	glance.nested_model_fit glance_nested tidy.nested_model_fit