PCIC's implementation of Climdex routines for computation of
extreme climate indices. Further details on the extreme climate indices
can be found at <http://etccdi.pacificclimate.org/list_27_indices.shtml>
and in the package manual.

PCIC's implementation of Climdex routines for computation of
extreme climate indices.

Orphaned and corrected on 2019-01-16 as no response to
request for corrections.

Constrained L1-minimization for Inverse (covariance) Matrix
Estimation
T. Tony Cai, Weidong Liu and Xi (Rossi) Luo
A robust constrained L1 minimization method for estimating
a large sparse inverse covariance matrix (aka precision
matrix), and recovering its support for building graphical
models.  The computation uses linear programming.

Constrained L1-Minimization for Inverse (Covariance) Matrix
Estimation
A robust constrained L1 minimization method for estimating a large sparse inverse covariance matrix (aka precision matrix), and recovering its support for building graphical models.  The computation uses linear programming.  The method was published in TT Cai, W Liu, X Luo (2011) <doi:10.1198/jasa.2011.tm10155>.

A framework that facilitates spatio-temporal analysis of climate dynamics through exploring and measuring different dimensions of climate change in space and time.
c(
person("Shirin", "Taheri", role = c("cre", "aut"),
email = "taheri.shi@gmail.com",
comment = c(ORCID = "0000-0002-0303-3145")),
person("Babak", "Naimi", role = c("aut"),
email = "naimi.b@gmail.com",
comment = c(ORCID = "0000-0001-5431-2729")),
person("Miguel", "Araujo", role = "aut")
)
Shirin Taheri [cre, aut] (<https://orcid.org/0000-0002-0303-3145>),
Babak Naimi [aut] (<https://orcid.org/0000-0001-5431-2729>),
Miguel Araujo [aut]

c(person("Christopher", "Paciorek", email =
"paciorek@stat.berkeley.edu", role = c("aut", "cre")))
Functions for fitting GEV and POT (via point process fitting)
models for extremes in climate data, providing return values, return
probabilities, and return periods for stationary and nonstationary models.
Also provides differences in return values and differences in log return
probabilities for contrasts of covariate values. Functions for estimating risk
ratios for event attribution analyses, including uncertainty. Under the hood,
many of the functions use functions from extRemes, including for fitting the
statistical models.