eiPack: Ecological Inference and Higher-Dimension Data Management
Olivia Lau <olau@fas.harvard.edu>, Ryan T. Moore <rtmoore@fas.harvard.edu>, Michael Kellermann <kellerm@fas.harvard.edu>
Provides methods for analyzing RxC ecological contingency tables using the extreme case analysis, ecological regression, and Multinomial-Dirichlet ecological inference models.  Also provides tools for manipulating higher-dimension data objects.

eiPack: Ecological Inference and Higher-Dimension Data
Management
Olivia Lau <olivia.lau@post.harvard.edu>, Ryan T. Moore
<rtm@wustl.edu>, Michael Kellermann <kellerm@post.harvard.edu>
Provides methods for analyzing RxC ecological contingency
tables using the extreme case analysis, ecological regression,
and Multinomial-Dirichlet ecological inference models.  Also
provides tools for manipulating higher-dimension data objects.

Ecological Inference and Higher-Dimension Data Management
Olivia Lau <olivia.lau@post.harvard.edu>, Ryan T. Moore
<rtm@american.edu>, Michael Kellermann <mrkellermann@gmail.com>
Provides methods for analyzing R by C ecological contingency
tables using the extreme case analysis, ecological regression,
and Multinomial-Dirichlet ecological inference models.  Also
provides tools for manipulating higher-dimension data objects.
2018-12-06 13:16:54 UTC; Michael Kellermann

2019-03-13 04:47:37 UTC; Michael Kellermann

2020-02-13 05:58:54 UTC; Michael Kellermann

Ecological Regression with Partial Identification
Wenxin Jiang, Gary King, Allen Schmaltz, Martin A. Tanner
Estimate district-level bounds for 2x2 ecological inference based on the approach
described in the forthcoming article Jiang et al. (2019), "Ecological Regression with Partial
Identification", Political Analysis. Interval data regression is used to bound the
nonidentified regression parameter in a linear contextual effects model, from which
district-level bounds are derived. The approach here can be useful as a baseline of comparison
for future work on ecological inference.

API Wrapper for 'US Energy Information Administration' Open Data
c(
person("Matthew", "Leonawicz", email = "matt_leonawicz@esource.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9452-2771")),
person(given = "E Source", role = c("cph", "fnd"))
)
Provides API access to data from the 'US Energy Information Administration' ('EIA') <https://www.eia.gov/>.
Use of the API requires a free API key obtainable at <https://www.eia.gov/opendata/register.php>.
The package includes functions for searching 'EIA' data categories and importing time series and geoset time series datasets.
Datasets returned by these functions are provided in a tidy format or alternatively in more raw form.
It also offers helper functions for working with 'EIA' date strings and time formats and for inspecting different summaries of series metadata.
The package also provides control over API key storage and caching of API request results.
tibble, magrittr, httr, jsonlite, dplyr, purrr, memoise,
lubridate
testthat, knitr, rmarkdown, covr, lintr, tidyr
Matthew Leonawicz [aut, cre] (<https://orcid.org/0000-0001-9452-2771>),
E Source [cph, fnd]