Data and code to Estévez & Takács (2022) 'Brokering or sitting between two chairs? A group perspective on workplace gossip'. Frontiers in Psychology, 13: 815383.
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Updated
Jun 1, 2024 - R
Data and code to Estévez & Takács (2022) 'Brokering or sitting between two chairs? A group perspective on workplace gossip'. Frontiers in Psychology, 13: 815383.
A unified framework for data analysis with GLM/GLMM in R
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 http://doi.org/10.17605/OSF.IO/UERYQ.
Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model
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/GT5UF.
Simple Mixed Effect Models and Censoring
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.)
This repository collects various small code snippets or short instructions on how to use or define specific mixed models, mostly with packages lme4 and glmmTMB.
Mixed effect modeling with R tutorials
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.
Implementing a Generalized Linear Mixed Effects Model (GLMM) on a Before-After-Control-Impact (BACI) study design related to coastal dune restoration
An R package for extracting results from mixed models that are easy to use and viable for presentation.
Bits of code to help clean up and display statistical analyses, largely in R.
Quick Guide for Modelling Count Data in A Multilevel Framework
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