Revised release of underlying code that walks through the motivating example from "Toward an improved understanding of causation in the ecological sciences." Rmd file can be downloaded and run using RStudio. The app also replicates figures from the paper when using default parameters
This compressed folder contains the files necessary to generate the model and output from this manus...
R script for running a code for Matsala et al. (2021) paper in Applied Vegetation Science journal. T...
This archive contains data and scripts (in the form of Rmarkdown scripts) associated with the paper ...
Initial release of underlying code for RShiny App that walks through the motivating example from "To...
R Code for reproducing simulations and analyses described in " "Detecting and interpreting higher or...
R code to accompany Whytock and Swiezewski et al. 2021. Robust ecological analysis of camera trap da...
By reputation, IDEs are difficult to simulate. They are, however, extremely useful and beneficial fo...
Detailed descriptions for each of the files can be found in Readme.txt. The R Markdown, data, and sc...
R Scripts for data analysis. Includes a file for the generalized additive mixed model analysis (JAE_...
The R script is an example and not the entire analysis as it was batch processed (the simulation for...
R code to simulate the three stochastic ecological models described in the associated paper. Contact...
R code for the manuscript "Applying the structural causal model (SCM) framework for observational ca...
Data and R code to reproduce analyses and figures. R code is given in .Rmd & R files. The .Rmd files...
This folder contains the code, functions, workflow, data and figures for the manuscript "Improving t...
Contents related to the Human-Plant Coevolution model implemented in R. This repository includes the...
This compressed folder contains the files necessary to generate the model and output from this manus...
R script for running a code for Matsala et al. (2021) paper in Applied Vegetation Science journal. T...
This archive contains data and scripts (in the form of Rmarkdown scripts) associated with the paper ...
Initial release of underlying code for RShiny App that walks through the motivating example from "To...
R Code for reproducing simulations and analyses described in " "Detecting and interpreting higher or...
R code to accompany Whytock and Swiezewski et al. 2021. Robust ecological analysis of camera trap da...
By reputation, IDEs are difficult to simulate. They are, however, extremely useful and beneficial fo...
Detailed descriptions for each of the files can be found in Readme.txt. The R Markdown, data, and sc...
R Scripts for data analysis. Includes a file for the generalized additive mixed model analysis (JAE_...
The R script is an example and not the entire analysis as it was batch processed (the simulation for...
R code to simulate the three stochastic ecological models described in the associated paper. Contact...
R code for the manuscript "Applying the structural causal model (SCM) framework for observational ca...
Data and R code to reproduce analyses and figures. R code is given in .Rmd & R files. The .Rmd files...
This folder contains the code, functions, workflow, data and figures for the manuscript "Improving t...
Contents related to the Human-Plant Coevolution model implemented in R. This repository includes the...
This compressed folder contains the files necessary to generate the model and output from this manus...
R script for running a code for Matsala et al. (2021) paper in Applied Vegetation Science journal. T...
This archive contains data and scripts (in the form of Rmarkdown scripts) associated with the paper ...
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