ginettelafit
I'm an applied statistician, my interests include high-dimensional covariance selection, mixed models apply to intensive longitudinal data, and #Rstats
Belgium
Pinned Repositories
ApproxPowerIL
Shiny app and R package to perform a power analysis to select the number of participants for multilevel models applied to intensive longitudinal designs using analytical derivations of the information matrix of the fixed effects.
DyadicDataAnalysis
An example on how to analyze intensive longitudinal dyadic data using mixed-effects models.
ESM.Synthetic.DataSets
This repository includes synthetic data sets to illustrate the application of mixed model effects to analysis in ESM research.
ginettelafit
Config files for my GitHub profile.
ginettelafit.github.io
Personal webpage
MixedModelswithRandJulia
A tutorial illustrating how to estimate linear mixed models using Julia in R.
PCS
Partial correlation screening approach for controlling the false positive rate in sparse Gaussian Graphical Models
PowerAnalysisESM
This is a previous version of the R package to perform a power analysis to select the number of participants in intensive longitudinal studies. The update package can be found in ginettelafit/PowerAnalysisIL
PowerAnalysisIL
Shiny app and R package to perform a power analysis to select the number of participants in intensive longitudinal studies
PowerLAPIM
A Shiny application and R package to conduct power analysis for Longitudinal Actor-Partner Interdependence Models that include quadratic effects
ginettelafit's Repositories
ginettelafit/PowerAnalysisIL
Shiny app and R package to perform a power analysis to select the number of participants in intensive longitudinal studies
ginettelafit/MixedModelswithRandJulia
A tutorial illustrating how to estimate linear mixed models using Julia in R.
ginettelafit/DyadicDataAnalysis
An example on how to analyze intensive longitudinal dyadic data using mixed-effects models.
ginettelafit/ApproxPowerIL
Shiny app and R package to perform a power analysis to select the number of participants for multilevel models applied to intensive longitudinal designs using analytical derivations of the information matrix of the fixed effects.
ginettelafit/ESM.Synthetic.DataSets
This repository includes synthetic data sets to illustrate the application of mixed model effects to analysis in ESM research.
ginettelafit/ginettelafit
Config files for my GitHub profile.
ginettelafit/ginettelafit.github.io
Personal webpage
ginettelafit/PCS
Partial correlation screening approach for controlling the false positive rate in sparse Gaussian Graphical Models
ginettelafit/PowerAnalysisESM
This is a previous version of the R package to perform a power analysis to select the number of participants in intensive longitudinal studies. The update package can be found in ginettelafit/PowerAnalysisIL
ginettelafit/PowerLAPIM
A Shiny application and R package to conduct power analysis for Longitudinal Actor-Partner Interdependence Models that include quadratic effects