Pinned Repositories
.doom.d
Doom Emacs Configuration
EventHistory.jl
Event History Analysis in Julia. Cox regression (right censoring+left truncation), ...
kvaser
Various python utilities
lava
Latent Variable Models in R https://kkholst.github.io/lava/
mcif
Multivariate Cumulative Incidence functions
mets
Analysis of Multivariate Event Times https://kkholst.github.io/mets/
rdbase
Base image for statistical modeling
SuperMan
org-mode Project Manager
target
Target: library for targeted inference https://targetlib.org/
targeted
Targeted inference (R package) https://kkholst.github.io/targeted/
kkholst's Repositories
kkholst/lava
Latent Variable Models in R https://kkholst.github.io/lava/
kkholst/mets
Analysis of Multivariate Event Times https://kkholst.github.io/mets/
kkholst/EventHistory.jl
Event History Analysis in Julia. Cox regression (right censoring+left truncation), ...
kkholst/targeted
Targeted inference (R package) https://kkholst.github.io/targeted/
kkholst/.doom.d
Doom Emacs Configuration
kkholst/SuperMan
org-mode Project Manager
kkholst/mcif
Multivariate Cumulative Incidence functions
kkholst/target
Target: library for targeted inference https://targetlib.org/
kkholst/gof
Model diagnostics based on cumulative residuals (R package) https://kkholst.github.io/gof/
kkholst/kvaser
Various python utilities
kkholst/rdbase
Base image for statistical modeling
kkholst/aia_proj
kkholst/asdf-r
R plugin for the asdf version manager
kkholst/citest
CI tests
kkholst/CRAN_CausalInference
CRAN Task View: Causal Inference
kkholst/emrsim
EMR simulation
kkholst/ensmallen
A header-only C++ library for mathematical optimization --
kkholst/fractalr
kkholst/git-crypt
Transparent file encryption in git
kkholst/kickstart-fedora-workstation
kickstart file for my personal workstations
kkholst/kkholst.github.io
github page
kkholst/lava.mixture
Mixtures of Linear Latent Variable Models
kkholst/lava.nlin
Non-linear latent variable models via StEM and Laplace approximation
kkholst/lava.tobit
LVM with censored and binary outcomes
kkholst/lavaSearch2
Tools for model specification in the latent variable framework (add-on for the lava package)
kkholst/mlpack
mlpack: a scalable C++ machine learning library --
kkholst/oh-my-zsh
A community-driven framework for managing your zsh configuration. Includes 120+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, macports, etc), over 120 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
kkholst/riskRegression
R package for risk regression and prediction with censored data
kkholst/sandbox
kkholst/sgd
An R package for large scale estimation with stochastic gradient descent