Author: S original, from StatLib, by Rob Tibshirani.  R port by
Description: Software (bootstrap, cross-validation, jackknife) and data
for the book "An Introduction to the Bootstrap" by B. Efron and

X-CRAN-Comment: Orphaned on 2013-07-19 for non-response, and repaired

R. Tibshirani, 1993, Chapman and Hall. This package is
primarily provided for projects already based on it, and for
support of the book. New projects should preferentially use the

Title: Bootstrap Algorithms for Finite Population Inference
Authors@R: person("Roberto", "Sichera", email = "roberto.sichera@unipa.it", role = c("aut", "cre"))
Description: Finite Population bootstrap algorithms to estimate the variance
of the Horvitz-Thompson estimator for single-stage sampling.
For a survey of bootstrap methods for finite populations, see Mashreghi et Al. (2016) <doi:10.1214/16-SS113>.

Authors@R: person("Roberto", "Sichera", email = "rob.sichera@gmail.com", role = c("aut", "cre"))

Title: Bootstrap Tolerance Levels for Credit Scoring Validation
Description: Used to create bootstrap tolerance levels for the Kolmogorov-Smirnov (KS) statistic, the area under receiver operator characteristic curve (AUROC) statistic, and the Gini coefficient for each score cutoff.
Depends: R (>= 3.0.0), boot,plyr,sqldf,tcltk
Packaged: 2015-02-20 02:14:59 UTC; garrettschiltgen

Description: Used to create bootstrap tolerance levels for the Kolmogorov-Smirnov (KS) statistic, the area under receiver operator characteristic curve (AUROC) statistic, and the Gini coefficient for each score cutoff. Also provides a bootstrap alternative to the Vasicek test.
Packaged: 2015-03-12 22:23:50 UTC; garrettschiltgen

Title: Transforming Behavioral Observation Records into Data Matrices
person("David N", "Sousa", email = "davidnsousa@gmail.com", role = c("aut", "cre")),
person("Joao R", "Daniel", email = "joaordaniel@gmail.com", role = "aut",
Description: Transforms focal observations' data, where different types of social interactions
can be recorded by multiple observers, into asymmetric data matrices.
Each cell in these matrices provides counts on the number of times
a specific type of social interaction was initiated by the row subject and
Maintainer: David N Sousa <davidnsousa@gmail.com>