Package: healthyR.ts 0.3.1.9000

healthyR.ts: The Time Series Modeling Companion to 'healthyR'

Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.

Authors:Steven Sanderson [aut, cre, cph]

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healthyR.ts.pdf |healthyR.ts.html✨
healthyR.ts/json (API)
NEWS

# Install 'healthyR.ts' in R:
install.packages('healthyR.ts', repos = c('https://spsanderson.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/spsanderson/healthyr.ts/issues

On CRAN:

aiarima-forecastingarima-modeletsforecastingggplot2machine-learningmodelingprophettime-seriestime-series-analysisworkflows

7.84 score 18 stars 1 packages 48 scripts 569 downloads 100 exports 189 dependencies

Last updated 24 days agofrom:34c2063e41. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-winOKOct 13 2024
R-4.5-linuxOKOct 13 2024
R-4.4-winOKOct 13 2024
R-4.4-macOKOct 13 2024
R-4.3-winOKOct 13 2024
R-4.3-macOKOct 13 2024

Exports::=.data%>%arima_stringas_labelas_nameassign_valueauto_stationarizecalibrate_and_plotchr_assignci_hici_locolor_blindenquoenquosexprget_recipe_callinternal_ts_backward_event_tblinternal_ts_both_event_tblinternal_ts_forward_event_tblmodel_extraction_helperrequired_pkgs.step_ts_accelerationrequired_pkgs.step_ts_velocitystep_ts_accelerationstep_ts_velocitysymsymstidy_fftts_acceleration_augmentts_acceleration_vects_adf_testts_arima_simulatorts_auto_arimats_auto_arima_xgboostts_auto_crostonts_auto_exp_smoothingts_auto_glmnetts_auto_lmts_auto_marsts_auto_nnetarts_auto_prophet_boostts_auto_prophet_regts_auto_recipets_auto_smooth_ests_auto_svm_polyts_auto_svm_rbfts_auto_thetats_auto_xgboostts_brownian_motionts_brownian_motion_augmentts_brownian_motion_plotts_calendar_heatmap_plotts_compare_datats_event_analysis_plotts_extract_auto_fitted_workflowts_feature_clusterts_feature_cluster_plotts_forecast_simulatorts_geometric_brownian_motionts_geometric_brownian_motion_augmentts_get_date_columnsts_growth_rate_augmentts_growth_rate_vects_info_tblts_is_date_classts_lag_correlationts_ma_plotts_model_auto_tunets_model_comparets_model_rank_tblts_model_spec_tune_templatets_qc_run_chartts_qq_plotts_random_walkts_random_walk_ggplot_layersts_scale_color_colorblindts_scale_fill_colorblindts_scedacity_scatter_plotts_sma_plotts_splits_plotts_time_event_analysis_tblts_to_tblts_velocity_augmentts_velocity_vects_vva_plotts_wfs_arima_boostts_wfs_auto_arimats_wfs_ets_regts_wfs_lin_regts_wfs_marsts_wfs_nnetar_regts_wfs_prophet_regts_wfs_svm_polyts_wfs_svm_rbfts_wfs_xgboostutil_difflog_tsutil_doublediff_tsutil_doubledifflog_tsutil_log_tsutil_singlediff_ts

Dependencies:abindanytimeaskpassbackportsbase64encBHbigDbitbit64bitopsbroombslibcachemcallrcheckmateclassclicliprclockcodetoolscolorspacecommonmarkconflictedcowplotcpp11crayoncrosstalkcurldata.tabledescdiagramdialsDiceDesigndigestdistributionaldoFuturedoParalleldplyrdygraphsevaluateextraDistrfansifarverfastmapfontawesomeforcatsforeachforecastfracdifffsfurrrfuturefuture.applygenericsggplot2globalsgluegowerGPfitgridExtragtgtablehardhathighrhmshtmltoolshtmlwidgetshttrinferinlineipredisobanditeratorsjanitorjquerylibjsonlitejuicyjuiceKernSmoothknitrlabelinglaterlatticelavalazyevallhslifecyclelistenvlmtestloolubridatemagrittrmarkdownMASSMatrixmatrixStatsmemoisemgcvmimemodeldatamodelenvmodeltimemunsellnlmennetnumDerivopensslpadrparallellyparsnippatchworkpillarpkgbuildpkgconfigplotlyposteriorprettyunitsprocessxprodlimprogressprogressrpromisesprophetpspurrrquadprogquantmodQuickJSRR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRcppRollreactablereactRreadrrecipesrlangrmarkdownrpartrsamplerstanrstantoolsrstudioapisassscalessfdshapeslidersnakecaseSQUAREMStanHeadersstringistringrsurvivalsystensorAtibbletidymodelstidyrtidyselecttimechangetimeDatetimetktinytextseriestsfeaturesTTRtunetzdburcautf8V8vctrsviridisLitevroomwarpwithrworkflowsworkflowsetsxfunxgboostxml2xtsyamlyardstickzoo

Getting Started with healthyR.ts

Steven P. Sanderson II, MPH

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Oct 13 2024.

Last update: 2022-03-17
Started: 2020-12-05

Using Tidy FFT

Steven P. Sanderson II, MPH

Rendered fromusing-tidy-fft.Rmdusingknitr::rmarkdownon Oct 13 2024.

Last update: 2022-06-08
Started: 2021-09-24

Readme and manuals

Help Manual

Help pageTopics
Automatically Stationarize Time Series Dataauto_stationarize
Helper function - Calibrate and Plotcalibrate_and_plot
Confidence Interval Genericci_hi
Confidence Interval Genericci_lo
Provide Colorblind Compliant Colorscolor_blind
Event Analysisinternal_ts_backward_event_tbl
Event Analysisinternal_ts_both_event_tbl
Event Analysisinternal_ts_forward_event_tbl
Model Method Extraction Helpermodel_extraction_helper
Recipes Time Series Acceleration Generatorstep_ts_acceleration
Recipes Time Series velocity Generatorstep_ts_velocity
Tidy Style FFTtidy_fft
Augment Function Accelerationts_acceleration_augment
Vector Function Time Series Accelerationts_acceleration_vec
Augmented Dickey-Fuller Test for Time Series Stationarityts_adf_test
Simulate ARIMA Modelts_arima_simulator
Boilerplate Workflowts_auto_arima
Boilerplate Workflowts_auto_arima_xgboost
Boilerplate Workflowts_auto_croston
Boilerplate Workflowts_auto_exp_smoothing
Boilerplate Workflowts_auto_glmnet
Boilerplate Workflowts_auto_lm
Boilerplate Workflowts_auto_mars
Boilerplate Workflowts_auto_nnetar
Boilerplate Workflowts_auto_prophet_boost
Boilerplate Workflowts_auto_prophet_reg
Build a Time Series Recipets_auto_recipe
Boilerplate Workflowts_auto_smooth_es
Boilerplate Workflowts_auto_svm_poly
Boilerplate Workflowts_auto_svm_rbf
Boilerplate Workflowts_auto_theta
Boilerplate Workflowts_auto_xgboost
Brownian Motionts_brownian_motion
Brownian Motionts_brownian_motion_augment
Auto-Plot a Geometric/Brownian Motion Augmentts_brownian_motion_plot
Time Series Calendar Heatmapts_calendar_heatmap_plot
Compare data over time periodsts_compare_data
Time Series Event Analysis Plotts_event_analysis_plot
Extract Boilerplate Itemsts_extract_auto_fitted_workflow
Time Series Feature Clusteringts_feature_cluster
Time Series Feature Clusteringts_feature_cluster_plot
Time-series Forecasting Simulatorts_forecast_simulator
Geometric Brownian Motionts_geometric_brownian_motion
Geometric Brownian Motionts_geometric_brownian_motion_augment
Get date or datetime variables (column names)ts_get_date_columns
Augment Data with Time Series Growth Ratests_growth_rate_augment
Vector Function Time Series Growth Ratets_growth_rate_vec
Get Time Series Informationts_info_tbl
Check if an object is a date classts_is_date_class
Time Series Lag Correlation Analysists_lag_correlation
Time Series Moving Average Plotts_ma_plot
Time Series Model Tunerts_model_auto_tune
Compare Two Time Series Modelsts_model_compare
Model Rankts_model_rank_tbl
Time Series Model Spec Templatets_model_spec_tune_template
Quality Control Run Chartts_qc_run_chart
Time Series Model QQ Plotts_qq_plot
Random Walk Functionts_random_walk
Get Random Walk 'ggplot2' layersts_random_walk_ggplot_layers
Provide Colorblind Compliant Colorsts_scale_color_colorblind
Provide Colorblind Compliant Colorsts_scale_fill_colorblind
Time Series Model Scedacity Plotts_scedacity_scatter_plot
Simple Moving Average Plotts_sma_plot
Time Series Splits Plotts_splits_plot
Event Analysists_time_event_analysis_tbl
Coerce a time-series object to a tibblets_to_tbl
Augment Function Velocityts_velocity_augment
Vector Function Time Series Accelerationts_velocity_vec
Time Series Value, Velocity and Acceleration Plotts_vva_plot
Auto Arima XGBoost Workflowset Functionts_wfs_arima_boost
Auto Arima (Forecast auto_arima) Workflowset Functionts_wfs_auto_arima
Auto ETS Workflowset Functionts_wfs_ets_reg
Auto Linear Regression Workflowset Functionts_wfs_lin_reg
Auto MARS (Earth) Workflowset Functionts_wfs_mars
Auto NNETAR Workflowset Functionts_wfs_nnetar_reg
Auto PROPHET Regression Workflowset Functionts_wfs_prophet_reg
Auto SVM Poly (Kernlab) Workflowset Functionts_wfs_svm_poly
Auto SVM RBF (Kernlab) Workflowset Functionts_wfs_svm_rbf
Auto XGBoost (XGBoost) Workflowset Functionts_wfs_xgboost
Differencing with Log Transformation to Make Time Series Stationaryutil_difflog_ts
Double Differencing to Make Time Series Stationaryutil_doublediff_ts
Double Differencing with Log Transformation to Make Time Series Stationaryutil_doubledifflog_ts
Logarithmic Transformation to Make Time Series Stationaryutil_log_ts
Single Differencing to Make Time Series Stationaryutil_singlediff_ts