spatstat (>= 1.37-0), sp, raster, tcltk, RandomFields,
iterators, ncdf, methods, rpanel (>= 1.1-3), fields, maptools,
Matrix, rgeos

spatstat (>= 1.50-0), spatstat.utils, sp, raster, tcltk,
RandomFields, iterators, ncdf4, methods, rpanel (>= 1.1-3),
fields, maptools, Matrix, rgeos

Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J.
Diggle. Additional code contributions from Edzer Pebesma, Dominic Schumacher.

Spatial and spatio-temporal modelling of point patterns using the
log-Gaussian Cox process. Bayesian inference for spatial, spatiotemporal,
multivariate and aggregated point processes using Markov chain Monte Carlo. See Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle (2015) <doi:10.18637/jss.v063.i07>.

spatstat.geom, spatstat.core, spatstat (>= 2.0-0),
spatstat.utils, sp, raster, tcltk, RandomFields, iterators,
ncdf4, methods, rpanel (>= 1.1-3), fields, maptools, Matrix,
rgeos

spatstat.geom, spatstat.explore, spatstat.utils, sp, raster,
tcltk, iterators, ncdf4, methods, rpanel (>= 1.1-3), fields,
maptools, Matrix, rgeos

spatstat.geom, spatstat.core, spatstat.utils, sp, raster,
tcltk, iterators, ncdf4, methods, rpanel (>= 1.1-3), fields,
maptools, Matrix, rgeos

For high-dimensional correlated observations, this package carries out the L_1 penalized maximum likelihood
estimation of the precision matrix (network) and the correlation parameters. The correlated data can be
longitudinal data (may be irregularly spaced) with dampening correlation or clustered data with uniform correlation.
For the details of the algorithms, please see the paper Jie Zhou et al. Identifying Microbial Interaction Networks Based on Irregularly Spaced
Longitudinal 16S rRNA sequence data <doi:10.1101/2021.11.26.470159>.
c(person("Jie", "Zhou", role = c("aut", "cre","cph"),
email = "chowstat@gmail.com"),
person("Jiang", "Gui",role=c("aut")),
person("Weston", "Viles",role=c("aut")),
person("Anne", "Hoen",role=c("aut")))
Jie Zhou [aut, cre, cph],
Jiang Gui [aut],
Weston Viles [aut],
Anne Hoen [aut]