Description: Provides methods for spatial and spatio-temporal smoothing of demographic and health indicators using survey data, with particular focus on estimating and projecting under-five mortality rates, described in Mercer et al. (2015) <doi:10.1214/15-AOAS872>, Li et al. (2019) <doi:10.1371/journal.pone.0210645> and Li et al. (2020) <arXiv:2007.05117>.
Imports: survey, stats, spdep, survival, ggplot2, utils, Matrix,
reshape2, viridis, sp, shadowtext, ggridges, methods,

Title: Small-Area-Estimation Unit/Area Models and Methods for
person(given = "John", family = "Paige", email = "paigejo@gmail.com", role = "aut"),
Suggests: INLA, knitr, rmarkdown, readstata13, patchwork, rdhs, R.rsp,

Imports: survey, stats, spdep, survival, ggplot2, scales, utils,

person(given = "Peter", family = "Gao", email = "petergao@uw.edu", role = "aut"),

Title: Sub-National Geospatial Data Archive: Geoprocessing Toolkit
Author: Jason Byers, Marty Davidson, Yuri M. Zhukov
Maintainer: Yuri M. Zhukov <zhukov@umich.edu>
Description: Tools for integrating spatially-misaligned GIS datasets. Part of the Sub-National Geospatial Data Archive System (<https://www.nsf.gov/awardsearch/showAward?AWD_ID=1925693&HistoricalAwards=false>).

Description: Tools for integrating spatially-misaligned GIS datasets. Part of the Sub-National Geospatial Data Archive System.

Description: Computes synchrony as windowed cross-correlation based on two-dimensional time series in a text file you can upload. 'SUSY' works as described in Tschacher & Meier (2020) <doi:10.1080/10503307.2019.1612114>.

Title: Indirect inference in non-Gaussian stochastic volatility models
Description: Indirect inference in non-Gaussian stochastic volatility
SystemRequirements: Armadillo (>= 0.9.0), lapack_atlas

Title: Quasi-likelihood and indirect inference in non-Gaussian
Description: Quasi-likelihood and indirect inference in non-Gaussian
stochastic volatility models for univariate and financial data.
For univariate data both quasi-likelihood estimation and
indirect inference are implemented, while for the bivariate
data a quasi-likelihood method is implemented.