Authors@R: c(person("Douglas", "Braga", email = "pacotesipd@ibge.gov.br",
person("Gabriel", "Assuncao", email = "pacotesipd@ibge.gov.br",
Packaged: 2020-12-11 17:12:10 UTC; gabriel.assuncao

Description: Provides tools for downloading, reading and analysing the PNADC,
Packaged: 2021-01-26 00:12:25 UTC; gabriel.assuncao

Packaged: 2021-04-21 16:08:02 UTC; gabriel.assuncao

Packaged: 2021-05-01 01:29:09 UTC; gabriel.assuncao

Packaged: 2021-06-23 21:05:22 UTC; gabriel.assuncao

Title: Downloading, Reading and Analyzing PNADC Microdata
Description: Provides tools for downloading, reading and analyzing the PNADC,
Packaged: 2021-11-29 15:12:05 UTC; gabriel.assuncao

Title: Poisson Network Autoregressive Models
person( "Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@uoc.gr" ),
person( "Mirko", "Armillotta", role = c("aut", "cph"), email = "armillotta.mirko.ucy.ac.cy" ),
person( "Konstantinos", "Fokianos", role = c("aut"), email = "fokianos@ucy.ac.cy" ) )
Description: Quasi likelihood-based methods for estimating Poisson Network Autoregression with p lags, PNAR, following generalized linear models are provided. PNAR models with the identity and with the logarithmic link function are allowed. The inclusion of exogenous covariates is also possible. Moreover, it provides tools for testing the linearity of linear PNAR model versus several nonlinear alternatives. Finally, it allows generating multivariate count distributions, from linear and nonlinear PNAR models, where the dependence between Poisson random variables is generated by suitable copulas. References include: Armillotta, M. and K. Fokianos (2022a). Poisson network autoregression. <arXiv:2104.06296>. Armillotta, M. and K. Fokianos (2022b). Testing linearity for network autoregressive models. <arXiv:2202.03852>.
Imports: doParallel, foreach, igraph, nloptr, parallel, Rfast, Rfast2,

Title: Downloading, Reading and Analysing PNS Microdata
Description: Provides tools for downloading, reading, and analysing the PNS
Packaged: 2020-12-11 17:12:14 UTC; gabriel.assuncao