How weecology/mvgamportal works
This R project appears to provide forecasting models and analysis tools, with a Shiny app and case-study workflows. The file names indicate stages for preparing train/test splits, fitting models, producing forecasts, and evaluating skill. The README is empty in the supplied material and no source excerpts were available, so call relationships and data flow between these stages cannot be verified; the graph therefore records the major components without implying a pipeline.
Main entry points: app.R Shiny App
Components 27
Application
- Shiny App
app.R
Forecasting
- Forecasting
R/forecasting.R - Model Definitions
R/models.R - AR Models
R/models/AR.R - Single Species
R/models/AR_SINGLE_SPECIES.R - Baseline Model
R/models/BASELINE.R - GAM AR
R/models/GAM_AR.R - GAM VAR
R/models/GAM_VAR.R - Simple Model
R/models/SIMPLE.R - Separate Models
R/models/sAR_separate.R - Temperature Models
R/models/tempAR_separate.R - Regime Detection
R/get_regime.R - Train Test Split
R/split_train_test.R - Forecast Plots
R/forecast_plots.r
Evaluation
- Skill Scores
R/skill_scores.r - LOO Comparison
R/loo_comparison.R - Evaluation Visuals
R/evaluation_viz.R - Simple Evaluation
R/simple_evaluation_viz.R
Case Studies
- Model Fitting
case_study/case_study_model_fitting.R - Model Processing
case_study/case_study_model_processing.R - Prior Fitting
case_study/case_study_PP_fitting.R - Baseline Priors
case_study/case_study_baseline_priors.R - Skill Plots
case_study/plot_skills.R - Input Data
data_all.rds - Regime Data
data_pb_regime.rds - Skill Results
case_study/model_outputs/model_skills.csv
Other components
- User
Connections 1
- User → Shiny App: opens