lares
Lean Analytics and Robust Exploration Sidekick
One analyst's toolbox, still shipping: Meta MMM tooling beside Wordle solvers
◆Recent moves
- 3mo ago
Nager.Date holidays, MP3 tag writing, named h2o models
The broadest release in the window and still recognisably a grab bag: holidays() moves to the Nager.Date API with ISO country codes, mp3_get() prefers iTunes over Spotify for metadata, mp3_update_tags() writes tags back, and h2o_automl() gains model_name so exported artefacts stop colliding. Splitting other_functions.R into three files is the first real housekeeping the package has done.
View source ↗ - 11mo ago
Encrypted file helpers join the credential tooling
encrypt_file(), read_encrypted() and write_encrypted() extend the existing credential and cache machinery to data at rest, which matters for a package whose day job includes holding API keys for Meta and OpenAI. The remainder is connection handling and message ordering.
View source ↗ - 1y ago
ggplot2 4.0 readiness and Meta API v21
Compatibility work dominates: preparing for ggplot2 4.0.0, moving the Meta API from v20 to v21, and switching get_mp3() to yt-dlp. Reweighted confidence criteria in robyn_modelselector() are the one substantive change to the marketing arm.
View source ↗ - 1y ago
Marginal CPA inverted and multi-model performance fixed
A correctness release for the Robyn arm — the mCPA calculation was inverted, and robyn_performance() mishandled OutputCollect objects carrying more than one model. Either would have quietly produced wrong channel economics.
View source ↗ - 1y ago
Certainty and cluster-spread metrics for model selection
robyn_modelselector() gains certainty and cluster_sd scores, continuing the slow build-out of automated candidate ranking that is this package's most developed idea. normalize() gains a custom scale range and robyn_performance() can include non-promotional contributions.
View source ↗ - 1y ago
Cross-channel budget allocation across several models
robyn_xchannels() extends budget allocation past a single model, which is the direction the Robyn tooling has been heading — from scoring one model to reasoning over a set of them. The rest is number formatting and small predicates.
View source ↗