Pinned Repositories
awesome-cpp
A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
condma
Hierarchical Bayesian models applied to meta-analysis
iclust2prog
iclust2prog
mrgsolve
Simulate from ODE-based population PK/PD and QSP models in R
PlayPy
Because learning playing is always more rewarding
projpred
Projection predictive variable selection
rms
rms
scikit-survival
Survival analysis built on top of scikit-learn
simtte
Simulate bespoke time-to-event models
Torsten
library of C++ functions that support applications of Stan in Pharmacometrics
csetraynor's Repositories
csetraynor/simms
Simulation of multistate for baseline and joint longitudinal and time-to-event models
csetraynor/aeim
Adverse events, Illness, multi-state survival Models
csetraynor/autoencoder-gan
Variational Autoencoder and Generative Adversarial Network
csetraynor/bayesian_notes
csetraynor/bookdown
Authoring Books and Technical Documents with R Markdown
csetraynor/coxed
Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model
csetraynor/drake-manual
The user manual for the drake R package
csetraynor/geneCN
Copy number algorithm for sequence capture data
csetraynor/imputation-dgm
Code for the paper "Improving Missing Data Imputation with Deep Generative Models"
csetraynor/lobstr
Understanding complex R objects with tools similar to str()
csetraynor/math
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
csetraynor/math-1
Stan Math library fork for Torsten
csetraynor/medgan
Generative adversarial network for generating electronic health records.
csetraynor/msm
The msm R package for continuous-time multi-state modelling of panel data
csetraynor/mstte
Multi-state Time-to-event
csetraynor/multi-categorical-gans
Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"
csetraynor/naniar
Tidy data structures, summaries, and visualisations for missing data
csetraynor/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
csetraynor/plog
Portable, simple and extensible C++ logging library
csetraynor/poole
The Jekyll Butler.
csetraynor/prob-stats
Probability and Statistics: a simulation-based introduction. An open-access book.
csetraynor/recipes
A preprocessing engine to generate design matrices
csetraynor/retrodesign
Tools for working with Type S (sign) and Type M (magnitude) errors in R
csetraynor/rstanmerror
Modelling automatically with user specified measurement error in rstan
csetraynor/shiny-book
csetraynor/smirf
Multiple imputation of missing data via missForest and fast implementation of random forests
csetraynor/spark
Apache Spark
csetraynor/stan
Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
csetraynor/SympEng2019
Materials for the Symposium of Engineering 2019
csetraynor/visNetwork
R package, using vis.js library for network visualization