davidruegamer Goto Github PK

airbnb

boostingsignalsynchro

Online Supplementary Material to Detecting Synchronisation in EEG- and EMG-Signals via Boosted Functional Historical Models

caic4dev

Conditional Akaike information criterion for lme4

check_mboost

Diagnostic function for mboost models

coinflibs

R Package for selective inference in linear models after likelihood- or test-based model selection

davidruegamer.github.io

deepregression_tutorial

Code for deepregression Tutorial Paper

effortless

fda_tutorial

fdboost

Read-only mirror of "fdboost" from r-forge SVN.

fdboost_tests

Generic tests for FDboost

generalized_orthogonalization

google-research

Google Research

hessianfreeoptimization

Hessian Free Optimization with Tensorflow

iboost

Add-on package for the R package mboost to calculate p-values and confidence intevals for model parameters. Package currently supports models fitted with Gaussian family including linear, group and spline base-learners.

inference_boosting

Repository for 'Valid Inference for L2-Boosting'

mboost

Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

neat

normalizingflownetwork

Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN)

pho

pymgcv

qgam

Additive quantile regression R package

sddr_code

Code to reproduce results of Ruegamer et al. (2021)

selfmade

SELective inFerence for Mixed and Additive model Estimators

semi-structured_distributional_regression

sequence-to-sequence-and-attention-from-scratch-using-tensorflow

Sequence to Sequence and attention from scratch using Tensorflow

shap

A unified approach to explain the output of any machine learning model.

shinytest

Automated testing for shiny apps

statisticalcomputing2017

thebiobucket-archives

R-Code used in my blog theBioBucket