Topic: interaction-effect Goto Github
Some thing interesting about interaction-effect
Some thing interesting about interaction-effect
interaction-effect,It is a method that allows analyzing the differences among group means in a given sample. ANOVA is a collection of statistical models and their associated estimation procedures like variation within and between groups. It is used to study the modification of mþ as the average of the studied phenomenon Y (quantitative/continuous/dependent variable) according to the influence of one or more (qualitative/discrete/independent variable) factors.
User: alifradi
interaction-effect,Determine the effectiveness of advertising activities on sales
User: arpitamangal
interaction-effect,Investigate various factor affecting the housing price in Milwaukee, Wisconsin using data visualization and modeling techniques
User: eddzzh
interaction-effect,Evaluate the Buy Online Pick-up in Store (BOPS) strategy with a real-world dataset
User: ireneliu521
interaction-effect,Variable Importance Plots (VIPs)
Organization: koalaverse
Home Page: https://koalaverse.github.io/vip/
interaction-effect,R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicated that a higher EF % is a major factor.
User: kovenda
interaction-effect,An R package for estimating interaction effects in structural equation modeling (SEM), and lavaan.
User: kss2k
Home Page: https://kss2k.github.io/intro_modsem
interaction-effect,A simple shiny app for examining interaction effects
User: leeper
interaction-effect,dnalogel 是如视三维空间交互增强插件库,为三维空间提供强有力辅助,增强空间数字表达能力,强化空间视觉体验效果。打破三维空间壁垒,创造数字空间的无限可能。
Organization: realsee-developer
Home Page: https://open-platform.realsee.com/developer/docs/dnalogel/intro/
interaction-effect,A library for calculating penetrance tables of any bivariate epistasis model.
Organization: udc-gac
interaction-effect,Material for Lab 13 of the course
Organization: uni-mannheim-qm-2021
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