Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model
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Updated
Jan 23, 2024 - CSS
Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model
I conduct multilevel regression analysis to gain comprehension of how attitudes towards government surveillance can change in the light of freedom-security choice and country difference in existential security level for citizens. I use R programming language and lme4 package to built linear multilevel models with cross-level interaction effects.
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.)
Data analysis for a water inundation experiment on dipterocarps...
AirBnB, Austin City Limits, Hierarchical Models, Random Effects
R package for computing, extracting, and visualizing response-contingencies
This repository contains R scripts designed for comprehensive regression analysis and data processing related to seizures and various economic and governance indicators. The project utilises both logistic and linear mixed-effects models to analyse the relationship between seizure occurrences and factors such as UN commitment.
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/UERYQ.
Data and code to Estévez & Takács (2022) 'Brokering or sitting between two chairs? A group perspective on workplace gossip'. Frontiers in Psychology, 13: 815383.
Elevational variation in tropical trees analysis
An example of multilevel models
Bits of code to help clean up and display statistical analyses, largely in R.
Mixed effect modeling with R tutorials
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