Title: Complete Discrete Fourier Transform (DFT) and Periodogram
Description: Calculate the predictive discrete Fourier transform, complete discrete Fourier transform, complete periodogram, and tapered complete periodogram. This algorithm is based on the preprint "Spectral methods for small sample time series: A complete periodogram approach" (2020) by Sourav Das, Suhasini Subba Rao, and Junho Yang.
Packaged: 2020-06-29 14:39:12 UTC; junhoyang

Title: A Tool for the Correlates of State Policy Project Data
Author: Caleb Lucas (https://caleblucas.com/) and Joshua McCrain (http://joshuamccrain.com/)
Description: A tool that imports, subsets, visualizes, and exports the Correlates of State Policy Project dataset assembled by Marty P. Jordan and Matt Grossmann (2020) <http://ippsr.msu.edu/public-policy/correlates-state-policy>. The Correlates data contains over 2000 variables across more than 100 years that pertain to state politics and policy in the United States. Users with only a basic understanding of R can subset this data across multiple dimensions, export their search results, create map visualizations, export the citations associated with their searches, and more.
Imports: dplyr, stringr, readr, tidyselect, ggplot2, mapproj, rlang,
Packaged: 2020-10-19 15:47:50 UTC; caleblucas

Suggests: knitr, rmarkdown, testthat, ggraph, igraph
Packaged: 2021-01-04 14:08:22 UTC; caleblucas

Imports: stringr, readr, tidyselect, ggplot2, mapproj, rlang, haven,
Packaged: 2021-10-15 23:32:56 UTC; caleblucas

Title: Data Only: The Correlates of State Policy Project Dataset
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 2000 variables across more than 100 years that pertain to state politics and policy in the United States.
Packaged: 2020-12-15 19:01:06 UTC; caleblucas

Packaged: 2020-12-17 19:16:06 UTC; caleblucas