Packaged: 2021-03-25 14:10:08 UTC; caleblucas

Packaged: 2021-06-06 10:47:58 UTC; caleblucas

Packaged: 2021-10-15 13:36:16 UTC; caleblucas

Description: Contains the Correlates of State Policy Project dataset (+ codebook) assembled by Marty P. Jordan and Matt Grossmann (2020) <http://ippsr.msu.edu/public-policy/correlates-state-policy> used by the 'cspp' package. The Correlates data contains over 3000 variables across more than 100 years that pertain to state politics and policy in the United States.
Packaged: 2022-03-07 19:13:04 UTC; caleblucas

Packaged: 2022-03-08 17:38:17 UTC; caleblucas

Packaged: 2022-05-13 22:14:08 UTC; caleblucas

Title: Methods to Test Hypotheses on the Distribution of Spatial Point
Description: Includes two functions to evaluate the hypothesis of complete spatial randomness (csr) in point processes.  The function 'mwin' calculates quadrat counts to estimate the intensity of a spatial point process through the moving window approach proposed by Bailey and Gatrell (1995).  Event counts are computed within a window of a set size over a fine lattice of points within the region of observation.  The function 'pielou' uses the nearest neighbor test statistic and asymptotic distribution proposed by Pielou (1959) to compare the observed point process to one generated under csr.  The value can be compared to that given by the more widely used test proposed by Clark and Evans (1954).

Author: Deniz Yenigun, Gunes Ertan, Michael Siciliano
Description: A collection of tools for estimating a network from a random sample of cognitive social structure (CSS) slices. Also contains functions for evaluating a CSS in terms of various error types observed in each slice.

Title: Selection of Number of Clusters via Normalized Clustering
Author: Jonas M. B. Haslbeck, Dirk U. Wulff
Maintainer: Jonas M. B. Haslbeck <jonas.haslbeck@gmail.com>
Description: Selection of the number of clusters in cluster analysis using

Title: Substantive significance testing for regression estimates and
Description: Functions that allow a researcher to examine the robustness of the substantive significance of their findings. Implements ideas set out in Esarey and Danneman (2014).
Packaged: 2014-05-17 21:14:37 UTC; Justin Esarey