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ggRandomForests - Visually Exploring Random Forests

Graphic elements for exploring Random Forests using 'randomForestSRC' and 'randomForest' for survival, regression, and classification forests, and 'varPro' for rule-based variable priority. Suggests 'randomForestRHF' for hazards with time-dependent covariates. Implements visualizations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324>, Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>, Lu and Ishwaran (2024) <doi:10.48550/arXiv.2409.09003>, and Ishwaran, Hsich, Kogalur, and Lee (2026) <doi:10.48550/arXiv.2608.21597>.

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quarto

11.28 score 154 stars 277 scripts 917 downloads

hvtiRutilities - A Collection of Utilities for Use by HVTI CORR Group at the Cleveland Clinic

R utilities for the clinical investigations statistics group within The Heart & Vascular Institute at the Cleveland Clinic.

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quarto

6.67 score 2 dependents 138 scripts

TemporalHazard - Temporal Parametric Hazard Modeling

Provides native R implementations of the multiphase parametric hazard model of Blackstone, Naftel, and Turner (1986) <doi:10.1080/01621459.1986.10478314> with a focus on behavioral parity, transparent numerics, and reproducible validation against reference outputs from the original 'C'/'SAS' HAZARD program, originally developed at the University of Alabama at Birmingham (UAB). The 'SAS'/'C' code and this R package are currently developed and maintained at The Cleveland Clinic Foundation, and the R code was wholly developed at The Cleveland Clinic Foundation. The generalized temporal decomposition family extends to longitudinal mixed-effects settings (Rajeswaran et al. 2018 <doi:10.1177/0962280215623583>). The package is intentionally implemented in pure R first; performance-critical paths may later be accelerated with 'Rcpp' without changing the public interface.

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quarto

6.45 score 1 stars 35 scripts 232 downloads

hvtiPlotR - HVTI 'ggplot2' Themes and Clinical Plot Functions for the Cleveland Clinic Heart & Vascular Institute

Themes, clinical plot constructors and methods for creating publication quality 'ggplot2' graphics in R that conform to the standards of Cardiovascular Outcomes Registries and Research (CORR) within The Heart \& Vascular Institute at the Cleveland Clinic.

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quarto

5.98 score 64 scripts

hvtiRtemplates - Analysis Job Templates for the HVTI CORR Group

Versioned analysis job templates for the Cardiovascular Outcomes, Registries and Research (CORR) group within the Heart, Vascular and Thoracic Institute (HVTI) at the Cleveland Clinic. Provides the analysis-prefix taxonomy the group organizes jobs by, and resolves a template name to an installed file, so that a study binds to a versioned template rather than to a copy.

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quarto

4.60 score 12 scripts

hvtiRtables - Manuscript-Compliant Table Construction for HVTI CORR Group

Turns 'gtsummary' table objects into 'MS Word' tables that follow the "Table Construction for Manuscripts" rules of the HVTI (Heart, Vascular and Thoracic Institute) CORR (Cardiovascular Outcomes, Registries and Research) group: footnotes and abbreviation keys as text below the table, no hidden spacer columns, and the house notation and rounding. Tables are drawn in a style named by its role: a report style, with flat headers, and a manuscript style, which lays a table out to compare groups or to describe cohorts side by side.

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quarto

4.32 score 16 scripts

hvtiRpropensity - Propensity Score Methods for HVTI CORR Research at the Cleveland Clinic

Propensity score estimation, matching, and inverse-probability treatment weighting (IPTW) for clinical investigations by the Cardiovascular Outcomes, Registries and Research (CORR) group within The Heart & Vascular Institute (HVTI) at the Cleveland Clinic. Provides a consistent two-step workflow: construct a scored or weighted dataset, then inspect the results or pass them downstream. Balance diagnostics (standardized mean difference (SMD) tables, effective sample size) are compatible with the plotting functions in 'hvtiPlotR'. The propensity score follows Rosenbaum and Rubin (1983) <doi:10.1093/biomet/70.1.41>.

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quarto

4.09 score 19 scripts

hvtiRdatabuild - Build and Verify Analytic Datasets for the HVTI CORR Group

Builds analysis-ready clinical datasets for the clinical investigations statistics group within The Heart and Vascular Institute at the Cleveland Clinic, and verifies them against the legacy 'SAS' datasets they replace.

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quarto

4.08 score 1 stars 7 scripts

hvtiRbootstrap - Bootstrap Model Building for the HVTI CORR Group

Builds models by bootstrap resampling, in the manner of the Cleveland Clinic CORR group's SAS macro library: fit a model on each of many bootstrap replicates, record which variables survive selection, and report how often each appeared. Ports the 'bootreg', 'SUMBOOT' and 'cluster' macros.

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quarto

3.93 score 17 scripts

hvtiR - Install and Check the HVTI R Package Family

Installs, updates and reports on the Cleveland Clinic Heart and Vascular Institute CORR group's family of R packages in a single step. Members are resolved from public GitHub repositories with 'pak', keeping installations aligned with the source where family releases land first. Provides a status table comparing installed versions and source commits against GitHub 'main', and a diagnostic report for environment problems.

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quarto

3.70 score 4 scripts

hvtiRlifetables - Age, Sex and Race Matched US Reference Survival

Age, sex and race matched United States reference survival, as consumed by clinical outcomes reports within The Heart and Vascular Institute at the Cleveland Clinic. Reproduces the 'SAS' macro 'usmatchd', which evaluates a stored three-phase parametric hazard fit of Blackstone, Naftel and Turner (1986) <doi:10.1080/01621459.1986.10478314> on the age axis rather than interpolating a life table. Ships the fitted parameter blocks, one set per vintage per stratum, together with a thin evaluator over the 'TemporalHazard' package. The reference vintage is never defaulted, so an analysis must state which reference population it used.

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quarto

3.70 score 9 scripts

ggBoostedTrees - Visually Exploring Boosted Tree Models

Graphic elements for exploring boosted tree models fit with 'boostmtree' and 'BoostMLR', which implement Friedman's gradient descent boosting with multivariate tree base learners for longitudinal responses. Separates data extraction from rendering so that additional boosting backends can be added without changes to the plotting layer.

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quarto

3.54 score 8 scripts

hvtiRimputation - Missing Value Imputation for the HVTI CORR Group

Fills missing values in a data frame by a stated method and returns the filled data together with a row-level record of exactly which values were changed. Ports the mean-imputation behaviour of the Cleveland Clinic CORR group's SAS library -- 'PROC STANDARD' with 'REPLACE', and the 'imputsub' macro that wraps it. The package knows nothing about the warehouse, a build, or any study: the input is a data frame and the output is a data frame plus a record.

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quarto

3.48 score 5 scripts

boostmtree - Boosted Multivariate Trees for Longitudinal Data

Implements Friedman's gradient descent boosting algorithm for modeling longitudinal response using multivariate tree base learners. Longitudinal response could be continuous, binary, nominal or ordinal. A time-covariate interaction effect is modeled using penalized B-splines (P-splines) with estimated adaptive smoothing parameter. Although the package is designed for longitudinal data, it can handle cross-sectional data as well. Implementation details are provided in Pande et al. (2017), Mach Learn <doi:10.1007/s10994-016-5597-1>. This is a Cleveland Clinic Foundation patched build correcting terminal-node coefficient divergence when fitting with cross-validation enabled.

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1.88 score 19 scripts 433 downloads