Description: Break Down Plots are inspired by waterfall plots created by 'xgboostExplainer' package
The idea behind Break Down Plots it to decompose model prediction for a single observation.
Break Down Plots show the contribution of every variable present in the model.
Such plots will work for binary classifiers and general regression models.

Suggests: knitr, rmarkdown, caret, randomForest, ranger

Suggests: knitr, rmarkdown, e1071, kernlab, xgboost, caret,

Title: Model Agnostic Explainers for Individual Predictions
Authors@R: c(person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut", "cre")),
person("Aleksandra", "Grudziaz", email = "aleksandra.grudziaz@gmail.com", role = "ctb"))
Description: Model agnostic tool for decomposition of predictions from black boxes.
Break Down Table shows contributions of every variable to a final prediction.
Break Down Plot presents variable contributions in a concise graphical way.
This package work for binary classifiers and general regression models.

Title: SICM pipette tip geometry estimation
Description: Estimates geometry of SICM pipette tips by fitting a
physical model to recorded breakage-current data.

Description: Estimates geometry of SICM pipette tips by fitting a physical model to recorded breakage-current data.

Title: Species richness estimation and modelling
Description: breakaway estimates and models total (observed plus unobserved) species richness. It is applicable to any situation where an unknown number of classes is to be estimated, but is especially suited to the microbial context. Microbial diversity datasets are characterized by a large number of rare species and a small number of highly abundant species. The class of models implemented by breakaway is flexible enough to model both these features. In the event that the practitioner does not believe or trust their singleton count, the procedure breakaway_nof1 estimates diversity in a way that does not require a singleton count. betta_basic runs a regression-type analysis of estimated total diversity, thus permitting accounting for unobserved taxa while also incorporating available covariate information. betta_basic does not enforce use of breakaway for diversity estimation.
Packaged: 2014-08-04 00:19:43 UTC; amywillis