Packaged: 2020-11-12 09:43:31 UTC; cfernandez

Title: Inferring an Animal's Sites of Interest from High Resolution
Description: Within the area of movement ecology, it can be useful to identify an animal's sites of interest. These will be places that an animal uses a lot and so will spend a proportionately longer time there. The aim of this package is to identify both the position and size of these sites of interest from high resolution (sub-second) positional data.

Title: Six Sigma Tools for Quality Control and Improvement
Authors@R: c(person("Emilio L.", "Cano", email = "emilio@lcano.com",
person("Javier M.", "Moguerza", role = c("aut")),
person("Mariano", "Prieto", role = c("aut")),
person("Andrés", "Redchuk", role = c("aut")),
person("Manuel", "Alfaro", role = c("ctb")))
Maintainer: Emilio L. Cano <emilio@lcano.com>
Description: Functions and utilities to perform
Statistical Analyses in the Six Sigma way.
Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control),
you can manage several Quality Management studies:
Gage R&R, Capability Analysis, Control Charts, Loss Function Analysis,
etc. Data frames used in the books "Six Sigma with R" [ISBN 978-1-4614-3652-2]
and "Quality Control with R" [ISBN 978-3-319-24046-6],
Imports: grDevices, stats, graphics, lattice, ggplot2, reshape2,
nortest, e1071, scales, testthat, xtable
Packaged: 2021-08-20 15:00:21 UTC; emilio.lcano
Author: Emilio L. Cano [aut, cre] (<https://orcid.org/0000-0002-6101-9755>),

Title: Six Sigma Tools for Quality and Process Improvement
Author: Emilio Lopez, Andres Redchuk, Javier M.Moguerza
Description: This package contains functions and utilities to perform
Statistical Analysis for Six Sigma methodology. Through its
outline DMAIC (Define, Measure, Analyze, Improve, Control), you
can manage several Quality Management studies. The current
version includes Gage R&R Study, Confidence Interval,
Cause-and-effect diagram and Process Map. There will be new
functions very soon for Capability Analysis, Control Charts,
Reliability, OC Curves, Regression and Design of Experiments.