Moderation, mediation, and moderated mediation in structural equation modeling and multiple regression
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Updated
Sep 30, 2024 - R
Moderation, mediation, and moderated mediation in structural equation modeling and multiple regression
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Functions related to standardized moderation effect
In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.
Use bootstrap resampling to estimate the sampling distribution of a statistic
A MATLAB package for multivariate permutation testing and effect size measurement
Had the incredible opportunity to present at the Don Bosco 1st International Conference near Sukhdev Vihar Metro on 27th July, 2024! 🎤🗓️, and My 2nd International Confrence so Far 😉
Statistical Analysis of Laptop usage patterns among students of IIT hyderabad.
🏠 This repository contains data analysis scripts for the 2022 American Community Survey (ACS) focusing on individuals aged 25 and over in North Carolina, based on 75,340 observations. This repository offers valuable insights into demographic and economic patterns across North Carolina's urban areas.
Case Studies and Projects in Machine Learning/EDA/DL
Free WordPress Plugin: This sample size calculator enables you to calculate the minimum sample size and the margin of error. Learn about sample size, the margin of error, & confidence interval. www.calculator.io/sample-size-calculator/
Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?
Shiny App for comparison of samples
MSc Dissertation: Estimating Uncertainty in Machine Learning Models for Drug Discovery
PlotTwist - a web app for plotting and annotating time-series data
python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites
Basic level Statistics Questions
Time Series Classification Part 1 Feature Creation Extraction. In this problem, we will classify the activities of humans based on time series obtained by a Wireless Sensor Network.
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