An implementation of the model in Steorts (2015) <DOI:10.1214/15-BA965SI>, which performs Bayesian entity resolution for categorical and text data, for any distance function defined by the user. In addition, the precision and recall are in the package to allow one to compare to any other comparable method such as logistic regression, Bayesian additive regression trees (BART), or random forests. The experiments are reproducible and illustrated using a simple vignette. LICENSE: GPL-3 + file license.

Bayesian Functional Linear Regression with Sparse Step Functions
c(
person("Paul-Marie", "Grollemund", email = "paul.marie.grollemund@gmail.com", role = c("aut", "cre")),
person("Isabelle", "Sanchez", email = "isabelle.sanchez@inra.fr", role = c("ctr")),
person("Meili", "Baragatti", email = "meili.baragatti@supagro.fr", role = c("ctr")))
Paul-Marie Grollemund [aut, cre],
Isabelle Sanchez [ctr],
Meili Baragatti [ctr]
A method for the Bayesian Functional Linear Regression model (scalar-on-function),
including two estimators of the coefficient function and an estimator of its support.
A representation of the posterior distribution is also available. Grollemund et. al. (2019) <doi:10.1214/18-BA1095>.
Rcpp, MASS, RColorBrewer, ggplot2, rockchalk

A method for the Bayesian functional linear regression model (scalar-on-function),
including two estimators of the coefficient function and an estimator of its support.
A representation of the posterior distribution is also available. Grollemund P-M., Abraham C.,
Baragatti M., Pudlo P. (2019) <doi:10.1214/18-BA1095>.

Data Exploration with Multiple Machine Learning Algorithms
Allows data to be processed by multiple machine learning algorithms
at the same time, enables feature selection of data by single a algorithm or
combinations of multiple. Easy to use tool for k-fold cross validation and
nested cross validation.
dplyr, plyr, tidyr, magrittr, caret, ggplot2, glmnet,
bartMachine, reshape2, randomForest, kknn, pamr, nnet, party,
rJava, e1071, pROC, stringr, xgboost, parallel, knitr,
rmarkdown, shiny, shinyjs, reshape, gtools, tibble