An R package for analyses of bioassays and probit graphs
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Updated
Nov 15, 2024 - R
An R package for analyses of bioassays and probit graphs
Syracuse University, Masters of Applied Data Science -SCM 651 Business Analytics
Hypothesis Testing Assignment - Ordered choice model. Using probit, logit and Poisson models to solve problems based on economic theory.
Using binary models (logistic and probit) to analyze risk factors associated with type 2 diabetes based on BRFSS 2015 data. The study identifies key factors such as obesity, age, physical activity, and socioeconomic status.
WPF desktop tool for probit analysis, LD50 estimation and confidence interval calculation.
Intended to implement multiple-indicator, multiple-cause (MIMIC) modelling with discrete indicators in R.
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