Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.

Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.

Power Supply Analyzer with USB Interface

Power analysis and AB test analysis library

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

Code used to carry out parameter estimation, correlation estimation, type 1 error analysis, and power analysis for our "Pseudoreplication in Single-Cell" study

NIST LWC Hardware Design of Ascon with Protection against Power Side-Channel Attacks

This python project is a helper package that uses power analysis to calculate required sample size for any experiment

Higher-order Masking of AES-128 based on the Rivain and Prouff method, CPRR method and Common Shares with Random Reduction method.

Simplify VLSI (timing, power, noise, correlation, reliability) modeling and analysis with Characterization Description Format

`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!

Calculate statistical power for longitudinal linear mixed-effects models with dropout. Supports null hypothesis, non-inferiority, and equivalence tests.

Miscellaneous Esoteric Statistical Scripts - an R package

Hi-voltage, Hi-current isolated multirange AFE for MIO168 module

Simple Monte Carlo power analysis for complex models. Find the sample size you need or check if your study has enough power - even with complex models that traditional power analysis can't handle. (pip install mcpower)

An introductory walkthrough into the concepts and workings of Power Analysis using the ChipWhisperer framework

Python package for conducting power analysis for experiments using regression and/or clustered data.

jamovi wrapper for pwrss package