Access to Abbyy Optical Character Recognition (OCR) API
person("Gaurav", "Sood", email = "gsood07@gmail.com", role = c("aut", "cre"))
Get text from images of text using Abbyy Cloud Optical Character Recognition (OCR) API. Easily OCR images, barcodes, forms, documents with machine readable zones, e.g. passports. Get the results in a variety of formats including plain text and XML. To learn more about the Abbyy OCR API, see http://ocrsdk.com/.

Get text from images of text using Abbyy Cloud Optical Character
Recognition (OCR) API. Easily OCR images, barcodes, forms, documents with
machine readable zones, e.g. passports. Get the results in a variety of formats
including plain text and XML. To learn more about the Abbyy OCR API, see http://
ocrsdk.com/.

Get text from images of text using Abbyy Cloud Optical Character
Recognition (OCR) API. Easily OCR images, barcodes, forms, documents with
machine readable zones, e.g. passports. Get the results in a variety of formats
including plain text and XML. To learn more about the Abbyy OCR API, see
<http://ocrsdk.com/>.

testthat, rmarkdown, knitr (>= 1.11), lintr

Functions to perform Approximate Bayesian Computation (ABC)
using simulated data
Katalin Csillery, with contributions from Michael Blum and
Olivier Francois
R (>= 1.8.0), nnet, quantreg, locfit, methods
The 'abc' package provides various functions for parameter
estimation and model selection in an ABC framework. Three main
functions are available: (i) 'abc' implements several ABC
inference algorithms, (ii) 'cv4abc' is a cross-validation tool
to evaluate the quality of the estimation and help the choice
of tolerance rate, and (iii) 'postpr' implements model
selection in an ABC setting. All these functions are
accompanied by appropriate summary and plotting functions.

Katalin Csillery, Michael Blum and Olivier Francois
Katalin Csillery <kati.csillery@gmail.com> and Michael Blum
<michael.blum@imag.fr>

Tools for Approximate Bayesian Computation (ABC)
The package implements several ABC algorithms for
performing parameter estimation and model selection.
Cross-validation tools are also available for measuring the
accuracy of ABC estimates, and to calculate the
misclassification probabilities of different models.