Imports: Rcpp (>= 1.0.5), glmmTMB, lme4, MASS, methods, MuMIn, pscl,
Packaged: 2022-03-08 06:16:19 UTC; richshefferson

Packaged: 2022-04-01 04:28:52 UTC; richshefferson

Packaged: 2022-05-18 07:21:31 UTC; richshefferson

Packaged: 2022-06-24 05:33:38 UTC; richshefferson

Packaged: 2022-08-08 12:56:07 UTC; richshefferson

Packaged: 2022-09-13 20:24:26 UTC; richshefferson

Title: Phylogenetic and Functional Analyses for Ecology
Maintainer: Nathan G. Swenson <swensonn@msu.edu>
Description: Utilizing phylogenetic and functional information for the analyses of ecological datasets. The analyses include methods for quantifying the phylogenetic and functional diversity of assemblages.
Imports: ape, picante, geiger, fBasics, SDMTools, vegan
Packaged: 2014-09-05 10:37:55 UTC; nathanswenson

Title: Accessing Hong Kong Legislative Council API
Description: Fetching data from Hong Kong Legislative Council's open data API in R.
Functions correspond to the data endpoints of the API.
Documentations of supported API databases:
Suggests: curl, httptest, knitr, rmarkdown

Title: R Bindings for the Hong Kong Legislative Council API

Title: Forecasting Using Multivariate Models
person("Kandrika Fadhlan", "Pritularga", email = "k.pritularga@lancaster.ac.uk", role = c("aut"),
comment="PhD Student at Centre for Marketing Analytics and Forecasting, Lancaster University, UK"))
Description: Functions implementing multivariate state space models for purposes of time series analysis and forecasting.
The focus of the package is on multivariate models, such as Vector Exponential Smoothing,
Vector ETS (Error-Trend-Seasonal model) etc. It currently includes Vector Exponential
Smoothing (VES, de Silva et al., 2010, <doi:10.1177/1471082X0901000401>), Vector ETS and
Imports: Rcpp (>= 0.12.3), stats, graphics, grDevices, pracma, statmod,
LinkingTo: Rcpp, RcppArmadillo (>= 0.8.100.0.0)
Suggests: Mcomp, numDeriv, testthat, knitr, rmarkdown, doMC,
Kandrika Fadhlan Pritularga [aut] (PhD Student at Centre for Marketing

Imports: Rcpp (>= 0.12.3), stats, generics (>= 0.1.2), graphics,
Suggests: numDeriv, testthat, knitr, rmarkdown, doMC, doParallel,