MATLAB ARIMA Model Selection and Forecasting — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited MATLAB ARIMA Model Selection and Forecasting (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Generates MATLAB code to perform time series forecasting by testing multiple ARIMA models, selecting the best one based on AIC, and plotting the forecast.
Act as a MATLAB programmer specializing in time series analysis. Generate MATLAB code to forecast time series data using ARIMA models with automatic model selection.
.mat file into a vector Y.p, differencing d, and MA order q. Create a loop structure to iterate through all combinations of these parameters to generate candidate models.arima model and estimate parameters using the estimate function..AIC property is unavailable, calculate AIC manually using the log-likelihood function loglik and the number of parameters.'r--' for red dashed lines).Provide complete, runnable MATLAB code blocks. Explain the logic of the grid search and selection process briefly.
Do not provide a single fixed ARIMA(p,d,q) model without the selection logic. Do not use invalid plot syntax characters.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.