Description: Performs Box-Cox power transformation for different purposes, graphical approaches, assess the success of the transformation via tests and plots, computes mean and confidence interval for back transformed data.

Imports: MASS, tseries, nortest, ggplot2, graphics, psych, stats
Description: Performs Box-Cox power transformation for different purposes, graphical approaches, assesses the success of the transformation via tests and plots, computes mean and confidence interval for back transformed data.

Imports: MASS, tseries, nortest, ggplot2, graphics, psych, stats, meta,
Author: Osman Dag [aut, cre], Ozgur Asar [aut], Ozlem Ilk [aut], Muhammed Ali Yilmaz [ctb]

Description: A collection of Automatic Item Generators used mainly for psychological research. It is recommended for research purpose only.

Maintainer: Bao Sheng Loe (Aiden) <bsl28@cam.ac.uk>
Description: A collection of Automatic Item Generators used mainly for psychological research. This package can generate linear syllogistic reasoning items and arithmetic items. It is recommended for research purpose only.

Description: A collection of Automatic Item Generators used mainly for psychological research. This package can generate linear syllogistic reasoning, arithmetic and 2D/3D spatial reasoning items. It is recommended for research purpose only.
Imports: mgcv, stats, dplyr, rgl, magrittr

Description: A collection of Automatic Item Generators used mainly for
psychological research. This package can generate linear syllogistic reasoning,
arithmetic and 2D/3D spatial reasoning items. It is recommended for research

Author: Bao Sheng Loe (Aiden) [aut,cre,cph]

arithmetic and 2D/3D/Double 3D spatial reasoning items. It is recommended for research

Authors@R: c(person("Bao Sheng", family="Loe (Aiden)", email =
"bsl28@cam.ac.uk", role = c("aut", "cre", "cph")),
Author: Bao Sheng Loe (Aiden) [aut, cre, cph],

Author: Benjamin P. Bryant and Anthony Westerling
Description: AIGIS can be used to interpolate spatially associated data onto arbitrary target polygons which lack such data. The package is primarily oriented toward convenient interpolation of specific US census data for California, as performed by Westerling and Bryant in "Climate Change and Wilfire in California" (2008, Climatic Change), though the tools provided should work for any combination of GIS data source and target polygons, provided  appropriate care is taken. However, this framework was created prior to significant advancements in spatial analysis tools in R, and users may find more convenient overlay capabilities within sp or other current packages (for example, see the 'over' methods in package:sp).