csetraynor Goto Github PK

biostan-examples

blog_code

code tidbits from my blog posts

bnpy

Bayesian nonparametric machine learning for Python

bookdown

Authoring Books and Technical Documents with R Markdown

brca

brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

broman

R/broman: A package with Karl Broman's personal R code

bybrca

bys

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causal_salad_2021

One day course on causal inference, MPI-EVA 9 September 2021

cibookex-r

Causal Inference: What If. R and Stata code for Exercises

clairvoyance

Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series

class

PharmTeX class definition files

clinicogenomicbayesianmodels

clusterprofiler

:bar_chart:statistical analysis and visualization of functional profiles for genes and gene clusters

cmdstan-wrapper

My current setup for using stan (cmdstan wrapper for R)

cmdstanr

CmdStanR: the R interface to CmdStan

code_bym_warwick

condma

Hierarchical Bayesian models applied to meta-analysis

cowplot

coxed

Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model

coxnnet2

coxph.risk

Absolute risk estimation based on Cox proportional hazards models for the primary and competing events

cpp-tutorial-samples

C++ tutorial code samples for those who want to start learning the language

crpclustering

:exclamation: This is a read-only mirror of the CRAN R package repository. CRPClustering — Bayesian Nonparametric Chinese Restaurant Process Clustering with Entropy

crpclustering-1

CRPClustering: An R Package for Bayesian Nonparametric Chinese Restaurant Process Clustering with Entropy

cschool

ctsem

Hierarchical continuous time state space modelling

dataanalyticsclasses