Description: Provides a comprehensive system for selecting
variables and weighting data to match the specifications of the American
National Election Studies. The package includes methods for identifying
discrepant variables, raking data, and assessing the effects of the raking
algorithm. It also allows automated re-raking if target variables fall
outside identified bounds and allows greater user specification than other
available raking algorithms. A variety of simple weighted statistics that
were previously in this package (version .55 and earlier) have been moved to

Title: Adaptive Neuro Fuzzy Inference System in R
Author: Cristobal Fresno, Andrea S. Llera and Elmer A. Fernandez
Description: The package implements ANFIS Type 3 Takagi and Sugeno's fuzzy
if-then rule network with the following features: (1) Independent number of
membership functions(MF) for each input, and also different MF extensible
types. (2) Type 3 Takagi and Sugeno's fuzzy if-then rule (3) Full Rule
combinations, e.g. 2 inputs 2 membership funtions -> 4 fuzzy rules (4)
Hibrid learning, i.e. Descent Gradient for precedents and Least Squares
Estimation for consequents (5) Multiple outputs.
Packaged: 2015-01-16 14:45:54 UTC; cristobal

Package: anglr
Type: Package
Title: Mesh Topology and Visualization for Spatial Data
Version: 0.5.0
Authors@R: c(person("Michael D.","Sumner",
role = c("aut", "cre"),
email ="mdsumner@gmail.com"),
person("Miles", "McBain", role = c("ctb")))
Description: Gives direct access to generic 3D tools and provides a full suite
of mesh-creation and 3D plotting functions. By extending the 'rgl' package
conversion and visualization functions for the 'mesh3d' class a wide variety of
complex spatial data can be brought into 3D scenes. These tools allow for
spatial raster, polygons, and lines that are common in 'GIS' contexts to be
converted into mesh forms with high flexibility and the ability to integrate
disparate data types. Vector and raster data can be seamlessly combined as
meshes, and surfaces can be set to have material properties based on data
values or with image textures. Textures and other data combinations use
projection transformations to map between coordinate systems, and objects can
be easily visualized in an interactive scene at any stage. This package relies
on the 'RTriangle' package for high-quality triangular meshing which is
licensed restrictively under 'CC BY-NC-SA 4.0'.
License: CC BY-NC-SA 4.0
Depends: R (>= 3.4.0)
Imports: crsmeta (>= 0.3.0), dplyr, gridBase, magrittr, palr, png,
polyclip, raster, reproj (>= 0.4.2), rgl, rlang, RTriangle,
scales, silicate (>= 0.4.0), sp, tibble, unjoin, utils,
viridis,
Suggests: covr, ggplot2, ggpolypath, graticule, knitr, purrr,
rmarkdown, sfheaders, testthat (>= 2.1.0), trip
SystemRequirements: PROJ library, OpenGL and GLU Library
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-04-23 20:20:31 UTC; mdsumner
Author: Michael D. Sumner [aut, cre],
Miles McBain [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-28 10:50:05 UTC