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StatCompLab 23.9.0

Reference
Articles
StatComp Project 1 (2022/23): Simulation and sampling StatComp Project 1 (2022/23): Hints StatComp Project 2: Scottish weather StatComp Project 2 (2022/23): Hints Tutorial 01: R and linear models Tutorial 01: R and linear models (solutions) Tutorial 02: Optimization Tutorial 02: Optimization (solutions) Tutorial 03: Monte Carlo integration Tutorial 03: Monte Carlo integration (solutions) Tutorial 04: Uncertainty and integration Tutorial 04: Uncertainty and integration (solutions) Tutorial 06: Prediction assessment with proper scores Tutorial 06: Prediction assessment with proper scores (solutions) Tutorial 07: Data wrangling and cross validation Tutorial 07: Data wrangling and cross validation (solutions) Tutorial 08: Floating point computations and least squares Tutorial 08: Floating point computations and least squares (solutions) Tutorial 09: Bootstrap and Pareto smoothed importance sampling Tutorial 09: Bootstrap and Pareto smoothed importance sampling (solutions) StatComp Project Example: Numerical statistics StatComp Project Example Solution: Numerical Statistics Quiz 1 Solution (StatComp 2021/22) Tutorial 04: Uncertainty and integration (full solution)

Interactive numerical optimisation explorer

Source: R/optimisation.R

optimisation.Rd

Shiny app for exploring how several numerical optimisation methods work

Usage

optimisation()

Developed by Finn Lindgren.

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