bcjaeger
Assistant professor of biostatistics and data science.
Wake Forest School of MedicineWinston-Salem
Pinned Repositories
bimm
A package to fit BIMM models; still in early development stage
Imputation-and-CV
When to impute if imputation is unsupervised?
melodem-apoe4-het
Workshop and collaborative manuscript
obliqueRSF
Oblique random survival forest (ORSFs) are ensembles for right-censured survival data that use linear combinations of input variables to recursively partition a set of training data. Regularized Cox proportional hazard models identify optimal linear combinations of input variables in each recursive partitioning step while building survival trees.
PooledCohort
Computes predicted risk for atherosclerotic cardiovascular disease.
r2glmm
An R package for computation of model R squared and semi-partial R squared (with confidence limits) in linear and generalized linear mixed models
seminar-git
Slides to introduce git and GitHub
table.glue
Number rounding and formatting assistance
cardioStatsUSA
R Shiny application for exploring 20 years of blood pressure data from NHANES
aorsf
Accelerated Oblique Random Survival Forests
bcjaeger's Repositories
bcjaeger/r2glmm
An R package for computation of model R squared and semi-partial R squared (with confidence limits) in linear and generalized linear mixed models
bcjaeger/table.glue
Number rounding and formatting assistance
bcjaeger/PooledCohort
Computes predicted risk for atherosclerotic cardiovascular disease.
bcjaeger/bimm
A package to fit BIMM models; still in early development stage
bcjaeger/melodem-apoe4-het
Workshop and collaborative manuscript
bcjaeger/sprint-mortality-ndi
Longer term All-Cause and Cardiovascular Mortality with Intensive Blood Pressure Control
bcjaeger/aorsf-bench
benchmarking the aorsf package
bcjaeger/DPP-individualized-risk-prediction
bcjaeger/pressureCounter
Counts the number of home and ambulatory blood pressure measurements
bcjaeger/rfvs-regression
Random forest variable selection benchmark for continuous outcomes
bcjaeger/bonsai
parsnip wrappers for tree-based models
bcjaeger/byron
bcjaeger/censored
Parsnip wrappers for survival models
bcjaeger/distr6
R6 object-oriented interface for probability distributions.
bcjaeger/grf
Generalized Random Forests
bcjaeger/guideline-data-safety
Recommendations for safe data.
bcjaeger/hardhat
Construct Modeling Packages
bcjaeger/mlr3extralearners
Extra learners for use in mlr3.
bcjaeger/mlr3proba
Probabilistic Learning for mlr3
bcjaeger/NHANES-PREVENT-vs-PCE
bcjaeger/OpenLong
Shares Synthetic Longitudinal Data And Code For Formatting Real Data
bcjaeger/paradox
ParamHelpers Next Generation
bcjaeger/parsnip
A tidy unified interface to models
bcjaeger/pkg-dev-masterclass
Materials for the Package Development Masterclass workshop held at posit::conf(2023)
bcjaeger/PreDm2Calc
What the Package Does (One Line, Title Case)
bcjaeger/seminar-aorsf-drpp
bcjaeger/set6
R6 object-oriented interface for mathematical sets.
bcjaeger/stringb
A dependency-free version of stringr
bcjaeger/tflow
An opinionated lightweight template for smooth targets flows.
bcjaeger/workshops
Website and materials for tidymodels workshops