[BOOK][B] Statistical computing with R
ML Rizzo - 2019 - taylorfrancis.com
Computational statistics and statistical computing are two areas that employ computational,
graphical, and numerical approaches to solve statistical problems, making the versatile R …
graphical, and numerical approaches to solve statistical problems, making the versatile R …
A unifying framework for parallel and distributed processing in R using futures
H Bengtsson - arxiv preprint arxiv:2008.00553, 2020 - arxiv.org
A future is a programming construct designed for concurrent and asynchronous evaluation
of code, making it particularly useful for parallel processing. The future package implements …
of code, making it particularly useful for parallel processing. The future package implements …
[BOOK][B] The energy of data and distance correlation
GJ Székely, ML Rizzo - 2023 - taylorfrancis.com
Energy distance is a statistical distance between the distributions of random vectors, which
characterizes equality of distributions. The name energy derives from Newton's gravitational …
characterizes equality of distributions. The name energy derives from Newton's gravitational …
Programming with BIG data in R: Scaling analytics from one to thousands of nodes
D Schmidt, WC Chen, MA Matheson, G Ostrouchov - Big Data Research, 2017 - Elsevier
We present a tutorial overview showing how one can achieve scalable performance with R.
We do so by utilizing several package extensions, including those from the pbdR project …
We do so by utilizing several package extensions, including those from the pbdR project …
optimParallel: An R package providing a parallel version of the L-BFGS-B optimization method
F Gerber, R Furrer - R Journal, 2019 - zora.uzh.ch
The R package optimParallel provides a parallel version of the L-BFGS-B optimization
method of optim (). The main function of the package is optimParallel (), which has the same …
method of optim (). The main function of the package is optimParallel (), which has the same …
LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test
In this paper, we introduce a new likelihood ratio imbalance degree (LRID) to measure the
class-imbalance extent of multi-class data. Imbalance ratio (IR) is usually used to measure …
class-imbalance extent of multi-class data. Imbalance ratio (IR) is usually used to measure …
Targeted fused ridge estimation of inverse covariance matrices from multiple high-dimensional data classes
We consider the problem of jointly estimating multiple inverse covariance matrices from high-
dimensional data consisting of distinct classes. An l 2-penalized maximum likelihood …
dimensional data consisting of distinct classes. An l 2-penalized maximum likelihood …
checkmate: Fast argument checks for defensive R programming
M Lang - arxiv preprint arxiv:1701.04781, 2017 - arxiv.org
Dynamically typed programming languages like R allow programmers to write generic,
flexible and concise code and to interact with the language using an interactive Read-eval …
flexible and concise code and to interact with the language using an interactive Read-eval …
gk: An R package for the g-and-k and generalised g-and-h distributions
D Prangle - arxiv preprint arxiv:1706.06889, 2017 - arxiv.org
The g-and-k and (generalised) g-and-h distributions are flexible univariate distributions
which can model highly skewed or heavy tailed data through only four parameters: location …
which can model highly skewed or heavy tailed data through only four parameters: location …
The HBV. IANIGLA Hydrological Model
JE Toum, MH Masiokas, R Villalba, P Pitte, LE Ruiz - 2021 - ri.conicet.gov.ar
Over the past 40 years, the HBV (Hydrologiska Byrans Vattenbalansavdelning) hydrological
model has been one of the most used worldwide due to its robustness, simplicity, and …
model has been one of the most used worldwide due to its robustness, simplicity, and …