Experimental design framework for scRNAseq population studies (eQTL and DE)
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Updated
Jan 8, 2025 - R
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
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.
R Shinyapp to calculate sample size for a given power
Interactive app exploring enhanced sensitivity to group differences with decision modelling
Shiny web app to run power analysis for RNA-Seq experiments.
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!
Анализ групного датасета по игровой зависимости, проверка психологических гипотез с помощью ряда статистических методов: анализ мощности, анализ латентных классов, анова фреквентистская VS байесовская
Eficácia do Ácido tranexâmico na redução de edema em cirurgias plásticas de face: projeto piloto
ggplotting power curves from simr package
Sample size for the verification of possible Interleukin-6 circadian rhythm in Alpha-1 Antitrypsin deficient patients
The data analysis code for the replication study CREP-21-39.
Visualise the output from allFit(), to look at the parameters for a set of predictors across a set of optimizers (e.g., bobyqa, Nelder-Mead, etc.)
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