Package: trending 0.1.0

Thibaut Jombart

trending:Model Temporal Trends

Provides a coherent interface to multiple modelling tools for fitting trends along with a standardised approach for generating confidence and prediction intervals.

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

trending_0.1.0.tar.gz
trending_0.1.0.zip(r-4.5)trending_0.1.0.zip(r-4.4)trending_0.1.0.zip(r-4.3)
trending_0.1.0.tgz(r-4.4-any)trending_0.1.0.tgz(r-4.3-any)
trending_0.1.0.tar.gz(r-4.5-noble)trending_0.1.0.tar.gz(r-4.4-noble)
trending_0.1.0.tgz(r-4.4-emscripten)trending_0.1.0.tgz(r-4.3-emscripten)
trending.pdf |trending.html
trending/json (API)
NEWS

# Installtrending in R:
install.packages('trending', repos = c('https://reconverse.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

On CRAN:

15 exports 8 stars 1.59 score 31 dependencies 1 dependents 232 downloads

Last updated 1 years agofrom:63f02155a0

Exports:brm_modelfitget_errorsget_estimateget_fitted_dataget_fitted_modelget_formulaget_predictorsget_responseget_resultget_warningsglm_modelglm_nb_modelglm.nblm_model

Dependencies:abindarmbootciToolsclicodadplyrfansigenericsgluelatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrpillarpkgconfigR6RcppRcppEigenrlangsurvivaltibbletidyselectutf8vctrswithr

Introduction

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Jul 04 2024.

Last update: 2021-10-14
Started: 2020-09-24

Prediction intervals for GLMs

Rendered fromprediction_intervals.Rmdusingknitr::rmarkdownon Jul 04 2024.

Last update: 2021-10-14
Started: 2020-10-08

Readme and manuals

Help Manual

Help pageTopics
Accessors genericsaccessors get_errors get_errors.default get_errors.trending_fit get_errors.trending_fit_tbl get_errors.trending_predict get_errors.trending_predict_tbl get_estimate get_estimate.default get_estimate.trending_predict get_estimate.trending_prediction get_estimate.trending_predict_tbl get_fitted_data get_fitted_data.default get_fitted_data.trending_fit get_fitted_data.trending_fit_tbl get_fitted_model get_fitted_model.default get_fitted_model.trending_fit get_fitted_model.trending_fit_tbl get_formula get_formula.default get_formula.tranding_fit get_formula.tranding_model get_formula.trending_fit get_formula.trending_fit_tbl get_formula.trending_model get_predictors get_predictors.default get_predictors.trending_fit get_predictors.trending_fit_tbl get_predictors.trending_model get_predictors.trending_predict get_predictors.trending_prediction get_predictors.trending_predict_tbl get_response get_response.default get_response.trending_fit get_response.trending_fit_tbl get_response.trending_model get_response.trending_predict get_response.trending_prediction get_response.trending_predict_tbl get_result get_result.default get_result.trending_fit get_result.trending_fit_tbl get_result.trending_predict get_result.trending_predict_tbl get_warnings get_warnings.default get_warnings.trending_fit get_warnings.trending_fit_tbl get_warnings.trending_predict get_warnings.trending_predict_tbl
Fit genericfit fit.default
Fit method list objectfit.list
Fit method for trending_model objectsfit.trending_model
Predict method for trending_model objectspredict.list
Predict method for trending_fit objectpredict.trending_fit
Predict method for trending_fit_tbl objectpredict.trending_fit_tbl
Predict method for trending_model objectspredict.trending_model
Modeling interfacebrm_model glm_model glm_nb_model lm_model trending_model trending_models