This package is considered a duplicate. The official version of this package is found at:https://reconverse.r-universe.dev/trendeval

Package: trendeval 0.1.1

Thibaut Jombart

trendeval: Evaluate Trending Models

Provides a coherent interface for evaluating models fit with the trending package. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.

Authors:Dirk Schumacher [aut], Thibaut Jombart [aut, cre], Tim Taylor [ctb]

trendeval_0.1.1.tar.gz
trendeval_0.1.1.zip(r-4.7-any)trendeval_0.1.1.zip(r-4.6-any)trendeval_0.1.1.zip(r-4.5-any)
trendeval_0.1.1.tgz(r-4.6-any)trendeval_0.1.1.tgz(r-4.5-any)
trendeval_0.1.1.tar.gz(r-4.7-any)trendeval_0.1.1.tar.gz(r-4.6-any)
trendeval_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
trendeval/json (API)

# Install 'trendeval' in R:

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

Bug tracker:https://github.com/reconverse/trendeval/issues

On CRAN:

3.00 score 2 stars 8 scripts 325 downloads 10 exports 52 dependencies

Last updated from:ff26e9e954. Checks:9 OK. Indexed: no.

Target	Result	Time
linux-devel	OK	143
source / vignettes	OK	187
linux-release	OK	136
macos-release	OK	180
macos-oldrel	OK	119
windows-devel	OK	99
windows-release	OK	95
windows-oldrel	OK	95
wasm-release	OK	93

Exports:brm_model calculate_aic calculate_mae calculate_rmse calculate_rsq evaluate_aic evaluate_resampling glm_model glm_nb_model lm_model

Dependencies:abind arm boot ciTools cli coda codetools cpp11 digest dplyr furrr future generics globals glue hardhat lattice lifecycle listenv lme4 magrittr MASS Matrix minqa nlme nloptr parallelly pillar pkgconfig purrr R6 rbibutils Rcpp RcppEigen Rdpack reformulas rlang rsample slider sparsevctrs stringi stringr survival tibble tidyr tidyselect trending utf8 vctrs warp withr yardstick

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Generic for calculating the AIC	calculate_aic calculate_aic.default calculate_aic.list calculate_aic.trending_fit calculate_aic.trending_fit_tbl calculate_aic.trending_model
Generic for calculating the root mean squared error	calculate_mae calculate_mae.default calculate_mae.list calculate_mae.trending_fit calculate_mae.trending_fit_tbl calculate_mae.trending_model calculate_mae.trending_predict calculate_mae.trending_prediction calculate_mae.trending_predict_tbl
Generic for calculating the root mean squared error	calculate_rmse calculate_rmse.default calculate_rmse.list calculate_rmse.trending_fit calculate_rmse.trending_fit_tbl calculate_rmse.trending_model calculate_rmse.trending_predict calculate_rmse.trending_prediction calculate_rmse.trending_predict_tbl
Generic for calculating the root mean squared error	calculate_rsq calculate_rsq.default calculate_rsq.list calculate_rsq.trending_fit calculate_rsq.trending_fit_tbl calculate_rsq.trending_model calculate_rsq.trending_predict calculate_rsq.trending_prediction calculate_rsq.trending_predict_tbl
Generic for calculating the AIC	evaluate_aic evaluate_aic.default evaluate_aic.list evaluate_aic.trending_list evaluate_aic.trending_model
Resampling approach for model evaluation	evaluate_resampling evaluate_resampling.default evaluate_resampling.list evaluate_resampling.trending_model