NEWS

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arf 0.2.3

• Add impute() function for direct missing data imputation with ARF
• Add one-line functions darf(), earf(), rarf()

arf 0.2.2

• Faster and vectorized conditional sampling
• Use min.bucket argument from ranger to avoid pruning if possible
• Option to sample NAs in generated data if original data contains NAs
• Stepsize in forge() to reduce memory usage
• Option for local and global finite bounds

arf 0.2.0 (2024-01-24)

• Vectorized adversarial resampling
• Speed boost for compiling into a probabilistic circuit
• Conditional densities and sampling
• Bayesian solution for invariant continuous data within leaf nodes
• New function for computing (conditional) expectations
• Options for missing data

arf 0.1.3 (2023-02-06)

• Speed boost for the adversarial resampling step
• Early stopping option for adversarial training
• alpha parameter for regularizing multinomial distributions in forde
• Unified treatment of colnames with internal semantics (y, obs, tree, leaf)