Package: bivarhr 0.1.6

bivarhr: Bivariate Hurdle Regression with Bayesian Model Averaging

Provides tools for fitting bivariate hurdle negative binomial models with horseshoe priors, Bayesian Model Averaging (BMA) via stacking, and comprehensive causal inference methods including G-computation, transfer entropy, Threshold Vector Autoregressive (TVAR) and Smooth Transition Autoregressive (STAR) models, Dynamic Bayesian Networks (DBN), Hidden Markov Models (HMM), and sensitivity analysis.

Authors:José Mauricio Gómez Julián [aut, cre]

bivarhr_0.1.6.tar.gz
bivarhr_0.1.6.zip(r-4.7-any)bivarhr_0.1.6.zip(r-4.6-any)bivarhr_0.1.6.zip(r-4.5-any)
bivarhr_0.1.6.tgz(r-4.6-any)bivarhr_0.1.6.tgz(r-4.5-any)
bivarhr_0.1.6.tar.gz(r-4.7-any)bivarhr_0.1.6.tar.gz(r-4.6-any)
bivarhr_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bivarhr/json (API)

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

Bug tracker:https://github.com/isadorenabi/bivarhr/issues

On CRAN:

Conda:

bayesian-networkshidden-markov-model

2.48 score 2 scripts 414 downloads 35 exports 49 dependencies

Last updated from:881bf57510. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK176
source / vignettesOK217
linux-releaseOK228
macos-releaseOK107
macos-oldrelOK105
windows-develOK99
windows-releaseOK154
windows-oldrelOK111
wasm-releaseOK154

Exports:add_qsigbuild_designcontrafactual_ATEdisc_tercilesexport_resultsexport_results_xlsxfit_oneget_hurdle_modelload_saved_resultsmake_lagsplacebo_temporalpredict_multistepprewhiten_bin_glmprewhiten_count_glmprewhiten_rate_glmprint_floor_smoketestread_bma_allrolling_oosrun_dbnrun_ebarun_hmmrun_sensemakrrun_synth_bstsrun_transfer_entropyrun_varxselect_by_bmasmoketest_floor_elpd_invariancestandardize_continuousstandardize_continuous_in_placesummarise_hurdle_top3_posthocsummarise_placebo_top3_posthocsummarise_te_top3_by_type_posthocsummarise_te_top3_posthocsummarise_tvarstar_posthocsummarise_varx_posthoc

Dependencies:abindbackportsbitbit64checkmateclicliprcodetoolscpp11crayondata.tabledigestdistributionaldplyrfurrrfuturefuture.applygenericsglobalsgluehmslifecyclelistenvloomagrittrmatrixStatsnumDerivparallellypillarpkgconfigposteriorprettyunitsprogressprogressrpurrrR6readrrlangstringistringrtensorAtibbletidyrtidyselecttzdbutf8vctrsvroomwithr

Readme and manuals

Help Manual

Help pageTopics
bivarhr: Bivariate Hurdle Regressionbivarhr-package bivarhr
Add BH-adjusted q-values and significance starsadd_qsig
Build Design Matrices for Bivariate Hurdle Modelbuild_design
Contrafactual Average Treatment Effects (ATE) for the Bivariate Hurdle Modelcontrafactual_ATE
Discretize Numeric Vector into Tercilesdisc_terciles
Export Analysis Resultsexport_results
Export Results to an Excel Workbookexport_results_xlsx
Fit Single Bivariate Hurdle Modelfit_one
Get Default Hurdle Modelget_hurdle_model
Load Saved Results from Directoryload_saved_results
Create Lag Matrixmake_lags
Temporal Placebo Test via Time-Index Permutationsplacebo_temporal
Pre-whiten binary series with logistic GLMprewhiten_bin_glm
Pre-whiten count series with GLM / NegBin modelprewhiten_count_glm
Pre-whiten rate series with log-link Gaussian GLMprewhiten_rate_glm
Print summary of FLOOR smoke test (ELPD ranking invariance)print_floor_smoketest
Print method for bivarhr_hmm objectsprint.bivarhr_hmm
Read and consolidate BMA weight tablesread_bma_all
Rolling Out-of-Sample Forecast Evaluationrolling_oos
Fit a Two-Slice Dynamic Bayesian Network (DBN) for I, C, and Regimerun_dbn
Extreme-Bounds Analysis (EBA) over Control-Variable Combinationsrun_eba
Hidden Markov Model (HMM) for Path Dependence (Counts I and C)run_hmm
Sensitivity Analysis to Unobserved Confounding (sensemakr)run_sensemakr
Synthetic Control via BSTS (CausalImpact)run_synth_bsts
Transfer Entropy for Counts, Rates, and Binary Seriesrun_transfer_entropy
Fit VARX model with diagnostics for I and Crun_varx
Select Best Model via Bayesian Model Averagingselect_by_bma
Smoke Test for FLOOR ELPD Invariancesmoketest_floor_elpd_invariance
Standardize Continuous Columnsstandardize_continuous
Standardize Continuous Columns In Placestandardize_continuous_in_place
Summarise top-3 Hurdle-NB models across control combossummarise_hurdle_top3_posthoc
Summarise top-3 temporal placebo resultssummarise_placebo_top3_posthoc
Summarise top-3 transfer entropy results by typesummarise_te_top3_by_type_posthoc
Summarise top-3 transfer entropy results (global)summarise_te_top3_posthoc
Summarise nonlinear time-series models (TVAR and LSTAR)summarise_tvarstar_posthoc
Summarise VARX model fit and diagnosticssummarise_varx_posthoc