Title: Retrieving Acceptance Sampling Schemes
Description: Functions are included for recalling AQL (Acceptable Quality Level or Acceptance Quality Level)
Based single, double, and multiple attribute sampling plans from the Military Standard (MIL-STD-105E) - American
National Standards Institute/American Society for Quality (ANSI/ASQ Z1.4) tables and for retrieving variable
sampling plans from Military Standard (MIL-STD-414) - American National Standards Institute/American Society
for Quality (ANSI/ASQ Z1.9) tables. The sources for these tables are listed in the URL: field. Also included
are functions for computing the OC (Operating Characteristic) and ASN (Average Sample Number) coordinates
for the attribute plans it recalls, and functions for computing the estimated proportion nonconforming and
the maximum allowable proportion nonconforming for variable sampling plans. The MIL-STD AQL Sampling schemes
were the most used and copied set of standards in the world. They are intended to be used for sampling a stream
of lots, and were used in contract agreements between supplier and customer companies. When the US military
dropped support of MIL-STD 105E and 414, The American National Standards Institute (ANSI) and the International
Standards Organization (ISO) adopted the standard with few changes or no changes to the central tables. This
package is useful because its computer implementation of these tables duplicates that available in other
commercial software and subscription online calculators.

Package: AQuadtree
Title: Confidentiality of Spatial Point Data
Version: 1.0.0
Authors@R: c(
person("Raymond", "Lagonigro", email = "raymond.lagonigro@uvic.cat", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8091-4296")),
person("Ramon", "Oller", email = "ramon.oller@uvic.cat", role = "aut", comment = c(ORCID = "0000-0002-4333-0021")),
person("Joan Carles", "Martori", email = "martori@uvic.cat", role = "aut", comment = c(ORCID = "0000-0002-8400-5487")))
Depends: R (>= 3.3.2), methods, stats, sp, dplyr,
Description: Provides an automatic aggregation tool to manage point data privacy,
intended to be helpful for the production of official spatial data and for researchers.
The package pursues the data accuracy at the smallest possible areas preventing
individual information disclosure. The methodology, based on hierarchical geographic
data structures performs aggregation and local suppression of point data to ensure privacy
as described in Lagonigro, R., Oller, R., Martori J.C. (2017) <doi:10.2436/20.8080.02.55>.
The data structures are created following the guidelines for grid datasets from the
European Forum for Geography and Statistics.
License: MIT + file LICENSE
Suggests: rgeos, rgdal, knitr, devtools, rmarkdown
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-13 08:43:52 UTC; raymond
Author: Raymond Lagonigro [aut, cre] (<https://orcid.org/0000-0002-8091-4296>),
Ramon Oller [aut] (<https://orcid.org/0000-0002-4333-0021>),
Joan Carles Martori [aut] (<https://orcid.org/0000-0002-8400-5487>)
Maintainer: Raymond Lagonigro <raymond.lagonigro@uvic.cat>
Repository: CRAN
Date/Publication: 2020-03-13 10:00:23 UTC