Overview | Analyzing plausibility of forecast data | Prepare observed data | Convert observed data into a signal with to_signal() | Create a seed from the observed data via plane_seed() | Prepare forecast data | Convert forecast data into a signal with to_signal() | Run plane_score() and visualize results | Analyzing plausibility of observed data

Overview | Data preparation | Difference - plane_diff() | Flagged as implausible | Not flagged as implausible | Coverage - plane_cover() | Taper - plane_taper() | Repeat - plane_repeat() | Controlling sensitivity with parameters | Trend - plane_trend() | Shape - plane_shape() | Zero - plane_zero()

Overview | Weighting scheme within plane_score() | Motivations for weighting | Limitations that arise from seed data | Reliability of seed data | Length of seed data | What to do when a flag is raised | Summary

Overview | Analysis steps | Example data | Usage | Inputs and outputs | Launching the app

Overview | Pipeline | Setting up the Docker template | Dockerfile | run.sh | pre.R | Building the image | Running the container | Shiny | app.R

Overview | Terminology | Using pracpac | use_docker() | build_image()

Overview | Pedigree parsing and manipulation | Degree Inference | Benchmarking Degree Classification | IBD Segment Analysis