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tidyabc (development version)
- ABC
- auto calibrate kernel epsilon (? and sample size) on ESS in adaptive fits
- Migrate
- scoring utilities from
ggoutbreak
- use of empirical CDF in
ggoutbreak
- Empirical distributions
-
dist_fns extensions:
tidyabc 0.0.1
-
ai4ci r-universe release.
-
ABC estimators with rejection, SMC or adaptive sampling
- distance functions for Wasserstein and RMSE.
- modern support for parallel simulation execution using
furrr
- posterior visualisation and resampling
- convergence statistics and visualisation
- Statistic functions wrapper
dist_fns S3 class
- support for distributions as dataframe column
- empirical, transformed and mixture distributions in unified framework
- distribution plotting
- Empirical distributions
- from weighted data or from cumulative probabilities
- link function support for constraints on support
- monotonic spline based fits in Q-Q (cdf) or logit-Z (data) space with support for
q, p, d, r functions.
- standalone distribution functions (migrated from
ggrrr)
- e.g. re-parametrisations of standard distributions.
- constrained gamma distribution
- logit normal distribution
- S3 class for priors
- formula based constructor
- print methods
- search library paths for distributions.
- constraints