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Irina Gaynanova (irinagain)

irinagain

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Company:University of Michigan

Home Page:https://irinagain.github.io

Twitter:@IrinaStats

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Irina Gaynanova's repositories

Awesome-CGM

List of CGM datasets

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iglu

R package for Interpreting GLUcose data from CGMs (Continuous Glucose Monitors)

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mixedCCA

R package for sparse canonical correlation analysis with mixed data types (continuous, binary, zero-truncated)

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SLIDE

R package SLIDE for Structural Learning and Integrative Decomposition of Multi-View Data

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bpshiny

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slide-paper

R code with functions that were used for simulations and data analysis in the paper

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DAP

Discriminant analysis via projections, R package

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GitSetup

Basic git setup (loosely based on HW1 from STAT 600: Computational Statistics)

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irinagain.github.io

Personal website

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MGSDApackage

R package for Multi-Group Sparse Discriminant Analysis

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SING

SING method implementation and code to reproduce results in corresponding paper

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AJIVE_Project

This repository provides the AJIVE software in Matlab and all related Matlab scripts to reproduce the results in the paper Angle-basied Joint And Individual Variation Explained (Feng et.al., 2017). Please refer to README.md for instruction.

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awesome-multi-omics

List of software packages for multi-omics analysis

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cgm-multi-level-beta

Example data set and R code to fit multi-level functional Beta model

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chebpol

Source code for R package chebpol on CRAN

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devtools

Tools to make an R developer's life easier

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ggstatsplot

Enhancing `ggplot2` plots with statistical analysis 📊🎨📣

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glmnet

:exclamation: This is a read-only mirror of the CRAN R package repository. glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Homepage: https://glmnet.stanford.edu, https://dx.doi.org/10.18637/jss.v033.i01, https://dx.doi.org/10.18637/jss.v039.i05

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lasagnar

Lasagna plots in base and ggplot graphics in R

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markdown-to-html-github-style

Generate a simple HTML page based on a markdown file, that looks like GitHub's stylesheet

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Module3

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refund

Regression with functional data

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starry_process

interpretable gaussian processes for stellar light curves

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TestRpackage

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TREX

Code for high-dimensional variable selection with the TREX

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