RColorBrewer (>= 1.1-2), Require, rmarkdown, sf, testthat (>=

Suggests: animation, bit (>= 1.1-12), covr, DBI, DEoptim (>= 2.2-4),
dplyr, dqrng, fasterize, googledrive, knitr, mgcv, purrr,
RColorBrewer (>= 1.1-2), rmarkdown, sf, testthat (>= 1.0.2)

Title: Model-Based Clustering of Spatio-Temporal Data
Author: Cheam A., Marbac M., and McNicholas P.
Description: Mixture model is used to achieve the clustering goal. Each component is itself a mixture model of polynomial autoregressive regressions whose the logistic weights consider the spatial and temporal information.
Imports: methods, Rcpp (>= 0.11.1), parallel

Title: Blind Source Separation for Multivariate Spatio-Temporal Data
Description: Simultaneous/joint diagonalization of local autocovariance matrices to estimate spatio-temporally uncorrelated random fields.
Imports: Rcpp (>= 1.0.2), JADE, Matrix, methods
Suggests: sftime, sf, spacetime, xts, zoo
Packaged: 2022-08-10 14:25:09 UTC; cmuehlmann

Packaged: 2022-11-29 10:03:50 UTC; cmuehlmann

Title: Species-Richness Prediction and Diversity Estimation with R
Author: Anne Chao, K. H. Ma, T. C. Hsieh and Chun-Huo Chiu
Description: Estimation of various biodiversity indices and related (dis)similarity measures based on individual-based (abundance) data or sampling-unit-based (incidence) data taken from one or multiple communities/assemblages.

Description: Provides an R Frontend for Apache Spark.
Authors@R: c(person("Shivaram", "Venkataraman", role = c("aut", "cre"),
person("Xiangrui", "Meng", role = "aut",
person(family = "The Apache Software Foundation", role = c("aut", "cph")))
Suggests: knitr, rmarkdown, testthat, e1071, survival
Collate: 'schema.R' 'generics.R' 'jobj.R' 'column.R' 'group.R' 'RDD.R'
'deserialize.R' 'functions.R' 'install.R' 'jvm.R' 'mllib.R'
'serialize.R' 'sparkR.R' 'stats.R' 'types.R' 'utils.R'
Author: Shivaram Venkataraman [aut, cre],
The Apache Software Foundation [aut, cph]

'backend.R' 'broadcast.R' 'catalog.R' 'client.R' 'context.R'
'stats.R' 'streaming.R' 'types.R' 'utils.R' 'window.R'