Random forests for longitudinal data using stochastic semiparametric miced-model
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Updated
Apr 5, 2024 - R
Random forests for longitudinal data using stochastic semiparametric miced-model
GLMMs with adaptive Gaussian quadrature
Fast cluster-based permutation test for densely-sampled, multi-level time series data
WIDEa (Web Interface for Data Exploration) is R-based software aiming to provide users with a range of functionalities to explore, manage, clean and analyse "big" environmental and (in/ex situ) experimental data.
Early Growth Genetics Longitudinal Analysis
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.
Steve's Miscellaneous Functions
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.)
The R package ClusROC
Comparisons of the judgments of people who express anger vs. those who do not
This repository includes the R code and data used in the analysis for the main manuscript of the paper. The cleaned data file consists of the data for only the 104 incident infections used. The ped.RDS file is an R data file for the piece-wise exponential data formulation of the survival data for the competing risks analysis. The descriptives fi…
Is it possible to predict the popularity of a song based on its technical features? Which aspect of a song should an artist focus on to get more visibility? Could record labels or a new up-and-coming artist benefit from these data-driven and data-informed decisions?
Power Estimation via Monte Carlo Simulation
Explaining postoperative pain after mandibular third molar extraction.
A look into at the relationship between population density in California Counties and COVID rates, for a pre-determined time period after COVID became pervasive in California.
EEG concordance in preterm twins
Statistical analysis on calcium concentration during dialysis
Simple mixed-effects growth models applied to tumor growth (modeling the effect of treatment and measurement method)
R scripts for analysing data from a language production study with bilinguals
nlme 예제 코드를 실행한 결과를 정리하였습니다. Mixed-Effects Models in S and S-PLUS https://asancpt.github.io/nlme
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