NEWS.md

In andybega/demspaces: Functions for the Democratic Spaces Project

demspaces 0.2

Development in November 2019.

• Added a tuner for ds_rf() that picks optimal mtry values.

demspaces 0.1

Development in October 2019.

• reg_logreg() and ds_reg_logreg() implement a self-tuning regularized logistic regression model based on the glmnet package. Tuning is performed via cross-validation and successively picks alpha and then lambda values.
• rf() and ds_rf() implement a random forest probability tree model using the ranger package.

demspaces 0.0.1

Initial version in September 2019. This had the following models:

• logistic_reg() is a standard logistic regression model, with ds_logistic_reg() as a wrapper for modeling democratic spaces. It includes an option to standardize features prior to model estimation ("normalize" argument), using a standardizer function made by make_standardizer().
• logistic_reg_featx() and ds_logistic_reg_featx() are standard logistic regression models with a feature extraction pre-processing step for the input feature data. This uses PCA (the only method implemented currently) to reduce the number of numeric input features to 5, via make_extract_features().

The GitHub repo, but not package, includes a template for adding new models in add_new_model.R.

andybega/demspaces documentation built on April 18, 2021, 11:05 p.m.