Packaged: 2018-03-01 23:33:53 UTC; drobinson

person("Jennifer", "Bryan", email = "jenny@rstudio.com", role = "ctb"),
person("Joran", "Elias", email = "statisticalskier@gmail.com", role = "ctb"))
Imports: stringdist, stringr, dplyr (>= 0.8.1), tidyr (>= 0.4.0),
Packaged: 2019-09-07 10:06:18 UTC; drobinson

Packaged: 2020-05-15 03:30:53 UTC; drobinson

Author: c(person("David", "Robinson", email = "drobinson@stackoverflow.com",
Packaged: 2016-04-05 17:07:00 UTC; drobinson

Authors@R: c(person(given = "Pavel", family = "Skrabanek", email = "pavel.skrabanek@upce.cz",
person(given = "Natalia", family = "Martinkova", email = "martinkova@ivb.cz",
Description: Estimators for fuzzy linear regression. The functions estimates parameters of
fuzzy linear regression models with crisp or fuzzy independent variables (triangular
fuzzy numbers are supported). Implements multiple methods for parameter estimation and
algebraic operations with triangular fuzzy numbers. Includes functions for
summarising, printing and plotting the model fit. Calculates predictions from the
Nasrabadi, Nasrabadi & Nasrabady (2005) <doi:10.1016/j.amc.2004.02.008>
Imports: quadprog, limSolve, stats, graphics, grDevices
Packaged: 2018-04-24 09:49:39 UTC; martinkova

Description: Estimators for fuzzy linear regression. The functions estimate parameters of
Nasrabadi, Nasrabadi & Nasrabady (2005) <doi:10.1016/j.amc.2004.02.008>,
Depends: R (>= 3.4.0), limSolve, quadprog
Packaged: 2018-06-07 09:55:21 UTC; martinkova

Authors@R: c(person(given = "Pavel", family = "Skrabanek", email = "pavel.skrabanek@vut.cz",
Imports: limSolve, quadprog, stats, graphics, grDevices
Packaged: 2018-12-05 11:35:10 UTC; martinkova

Packaged: 2019-06-06 05:16:25 UTC; martinkova

Packaged: 2021-11-10 14:28:46 UTC; martinkova

Skrabanek, Marek & Pozdilkova (2021) <doi:10.3390/math9060685>,
Packaged: 2022-03-02 13:35:42 UTC; martinkova

Description: Fuzzy string matching implementation of the 'fuzzywuzzy' <https://github.com/seatgeek/fuzzywuzzy> 'python' package. It uses the Levenshtein Distance <https://en.wikipedia.org/wiki/Levenshtein_distance> to calculate the differences between sequences.
SystemRequirements: Python (>= 2.4), difflib, fuzzywuzzy ( >=0.15.0 ),
python-Levenshtein ( >=0.12.0 ). Detailed installation
instructions for each operating system can be found in the