Andrew Balemi, James Curran, Brant Deppa, Mike Forster, Michael Maia, Chris Wild

Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike
Forster, Charlotte Maia, Brendan McArdle, Chris Wild

Functions for University of Auckland course STATS 201/208 Data
Analysis
Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster, Brendan McArdle, Chris Wild
A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors

Functions for University of Auckland Course STATS 201/208 Data
Analysis
A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.

Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster,
Brendan McArdle, Ben Stevenson, Chris Wild
A set of functions used in teaching STATS 201/208 Data Analysis at
the University of Auckland. The functions are designed to make parts of R more
accessible to a large undergraduate population who are mostly not statistics
majors.

Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Sophie Jones,
Brendan McArdle, Ben Stevenson, Chris Wild

Andrew Balemi, James Curran, Brant Deppa, Mike Forster, Charlotte Maia, Chris Wild

Andrew Balemi, James Curran, Brant Deppa, Mike Forster,
Charlotte Maia, Chris Wild

A Set of Common Tools for Seasonal to Decadal Verification
c(
person("BSC-CNS", role = c("aut", "cph")),
person("An-Chi", "Ho", , "an.ho@bsc.es", role = c("aut", "cre")),
person("Nuria", "Perez-Zanon", , "nuria.perez@bsc.es", role = "aut"))
The advanced version of package 's2dverification', which the details can
be found in Manubens et al. (2018) <doi:10.1016/j.envsoft.2018.01.018>.
It is intended for 'seasonal to decadal' (s2d) climate forecast verification, but
it can also be used in other kinds of forecasts or general climate analysis.
This package is specially designed for the comparison between the experimental
and observational datasets. The functionality of the included functions covers
from data retrieval, data post-processing, skill scores against observation,
to visualization. Compared to 's2dverification', 's2dv' is more compatible
with the package 'startR', able to use multiple cores for computation and
handle multi-dimensional arrays with a higher flexibility.
abind, bigmemory, GEOmap, geomapdata, graphics, grDevices,
mapproj, parallel, ClimProjDiags, stats, plyr, ncdf4,
multiApply (>= 2.0.0)
BSC-CNS [aut, cph],
An-Chi Ho [aut, cre],
Nuria Perez-Zanon [aut]