Description:  AIGIS can be used to interpolate spatially associated data onto arbitrary target polygons which lack such data.  Version 1.0 of the package is oriented toward convenient interpolation of specific US census data for California, but the tools provided should work for any combination of GIS data source and target polygon, provided appropriate care is taken.  Future versions will be aimed at facilitating more general applications.
Packaged: Mon Mar  9 10:24:13 2009; bryant

Description: R functions for adaptively constructing index models for
continuous, binary and survival outcomes. Implementation

Title: Augmented Inverse Probability Weighting
Description: The 'AIPW' pacakge implements the augmented inverse probability weighting, a doubly robust estimator, for average causal effect estimation with user-defined stacked machine learning algorithms. To cite the 'AIPW' package, please use: "Yongqi Zhong, Edward H. Kennedy, Lisa M. Bodnar, Ashley I. Naimi (2021, In Press). AIPW: An R Package for Augmented Inverse Probability Weighted Estimation of Average Causal Effects. American Journal of Epidemiology". Visit: <https://yqzhong7.github.io/AIPW/> for more information.
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, covr, tmle
Imports: stats, utils, R6, SuperLearner, ggplot2, future.apply,
Author: Yongqi Zhong [aut, cre] (<https://orcid.org/0000-0002-4042-7450>),

Title:   Tools to look at the data ("Ad Inidicia Spectata")
Description: This provides tools to inspect data
Maintainer: VDC Development Team <vdc-dev@latte.harvard.edu>
Packaged: Tue Jul 31 06:10:10 2007; maltman

Title: Atlas of Living Australia (ALA) Data and Resources in R
Description: The Atlas of Living Australia (ALA) provides tools to enable users
of biodiversity information to find, access, combine and visualise data on
Australian plants and animals; these have been made available from
<http://ala.org.au/>. ALA4R provides a subset of the tools to be
directly used within R. It enables the R community to directly access data
and resources hosted by the ALA. Our goal is to enable outputs (e.g.
observations of species) to be queried and output in a range of standard
Imports: RCurl, assertthat, digest, httr, jsonlite (>= 0.9.8), plyr,
Suggests: ape, covr, data.table, geosphere, jpeg, knitr, mapdata, maps,
maptools, mgcv, phytools, rmarkdown, testthat, vegan