yadevi

yadevi

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awesome-R

A curated list of awesome R packages, frameworks and software.

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Biostatistics

Package for biostatistics tutorials

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CAMBIO_survival

repository for the surival analysis in CAMBIO

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cowplot

cowplot: Streamlined Plot Theme and Plot Annotations for ggplot2

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dCVnet

an R package for prediction modelling - extending glmnet with double cross-validation

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DeclareDesign

DeclareDesign: Declare and Diagnose Research Designs

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DS-with-PySimpleGUI

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

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ensembl-vep

The Ensembl Variant Effect Predictor predicts the functional effects of genomic variants

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EPI809

Biostatistics II

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geneSA

a log-rank test in univariate Cox regression analysis with a proportional hazards model is performed to examine the association between the expression of each gene and the survival rates of patients. Genes with Q-value <= 0.05 (Benjamini-Hocberg procedure) are preserved.

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gohugo-theme-ananke

Ananke: A theme for Hugo Sites

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gsDesign

Group sequential design for clinical trials

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heart-prediction-using-R

The goal of the project is to predict the mortality rate caused by heart failure based on 12 clinical features.

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lifelines

Survival analysis in Python

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MESS

Miscellaneous Esoteric Statistical Scripts - an R package

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MixedModelswithRandJulia

Learny julia R A tutorial illustrating how to estimate linear mixed models using Julia in R.

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mlops-r

Learny ml Resources for Machine Learning Operations with R

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PatientLevelPrediction

An R package for performing patient level prediction in an observational database in the OMOP Common Data Model.

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plaidml

PlaidML is a framework for making deep learning work everywhere.

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pROC

Display and analyze ROC curves in R and S+

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reportfactory

Lightweight infrastructure to handle multiple rmarkdown reports

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rweekly.org

R Weekly

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samp

Shiny application to visualize sampling distributions

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stratagprediction

STRATA-G Clinical Prediction Model for Treatment Resistant Psychosis

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survival-1

Survival package for R

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