Experimental design framework for scRNAseq population studies (eQTL and DE)

Shiny app and R package to perform a power analysis to select the number of participants in intensive longitudinal studies

`powerly` is an R package for conducting sample size analysis for network models and more.

This package underwent major revisions and is now available as powsimR!

Miscellaneous Esoteric Statistical Scripts - an R package

jamovi wrapper for pwrss package

This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at https://doi.org/10.17605/OSF.IO/GT5UF.

Simulate population dynamics and survey data that respond to stream hydrology using historical data from USGS stream gages.

Interactive app exploring enhanced sensitivity to group differences with decision modelling

Eficácia do Ácido tranexâmico na redução de edema em cirurgias plásticas de prótese mamária: projeto piloto

'Simulations for power analysis' presentation/mini workshop for the JCU CodeR group. See repo for slides and code to conduct your own simulation power analysis in R!

Eficácia do Ácido tranexâmico na redução de edema em cirurgias plásticas de face: projeto piloto

Анализ групного датасета по игровой зависимости, проверка психологических гипотез с помощью ряда статистических методов: анализ мощности, анализ латентных классов, анова фреквентистская VS байесовская

ggplotting power curves from simr package

R Shinyapp to calculate sample size for a given power

Sample size for the verification of possible Interleukin-6 circadian rhythm in Alpha-1 Antitrypsin deficient patients

A Shiny application and R package to conduct power analysis for Longitudinal Actor-Partner Interdependence Models that include quadratic effects

course sub-material for statistical computing class (2021 Fall)

This repository explores the activation patterns of A2 noradrenergic neurons in fear-conditioned rats, using statistical analyses like t-tests and linear regression in R. It focuses on the differences in dopamine β-hydroxylase (DbH) neuron activation between various environmental conditions.

Power simulation tools for R users