Volume 109 Tahun 2024
Dublin Core
Title
Volume 109 Tahun 2024
Source
https://www.jstatsoft.org/issue/view/v109
Date
2024
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Collection Items
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R
Two common issues arise in regression modelling of bivariate count data: (i) dependence across outcomes, and (ii) excess zero counts (i.e., zero inflation). However, there
are currently few options to estimate bivariate zero-inflated count…
are currently few options to estimate bivariate zero-inflated count…
scikit-fda: A Python Package for Functional Data Analysis
he library scikit-fda is a Python package for functional data analysis (FDA). It provides a comprehensive set of tools for representation, preprocessing, and exploratory analysis of functional data. The library is built upon and integrated in…
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding
One of the most popular techniques for visualizing large, high-dimensional data sets
is t-distributed stochastic neighbor embedding (t-SNE). Recently, several extensions have
been proposed to address scalability issues and the quality of the…
is t-distributed stochastic neighbor embedding (t-SNE). Recently, several extensions have
been proposed to address scalability issues and the quality of the…
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes
This article presents the magi software package for the inference of dynamic systems.
The focus of magi is on dynamics modeled by nonlinear ordinary differential equations
with unknown parameters. While such models are widely used in science and…
The focus of magi is on dynamics modeled by nonlinear ordinary differential equations
with unknown parameters. While such models are widely used in science and…
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs
This article introduces funGp, an R package which handles regression problems involving multiple scalar and/or functional inputs, and a scalar output, through the Gaussian
process model. This is particularly of interest for the design and analysis…
process model. This is particularly of interest for the design and analysis…
Extremes.jl: Extreme Value Analysis in Julia
The Extremes.jl package provides exhaustive, high-performance functions by leveraging the multiple-dispatch capabilities in Julia for the analysis of extreme values. In
particular, the package implements statistical models for both block maxima and…
particular, the package implements statistical models for both block maxima and…
cpop: Detecting Changes in Piecewise-Linear Signals
Changepoint detection is an important problem with a wide range of applications.
There are many different types of changes that one may wish to detect, and a wide
range of algorithms and software for detecting them. However there are relatively…
There are many different types of changes that one may wish to detect, and a wide
range of algorithms and software for detecting them. However there are relatively…
Generalized Plackett-Luce Likelihoods
The hyper2 package provides functionality to work with extensions of the BradleyTerry probability model such as Plackett-Luce likelihood including team strengths and
reified entities (monsters). The package allows one to use relatively natural R…
reified entities (monsters). The package allows one to use relatively natural R…
fHMM: Hidden Markov Models for Financial Time Series in R
Hidden Markov models constitute a versatile class of statistical models for time series
that are driven by hidden states. In financial applications, the hidden states can often
be linked to market regimes such as bearish and bullish markets or…
that are driven by hidden states. In financial applications, the hidden states can often
be linked to market regimes such as bearish and bullish markets or…
Emulation and History Matching Using the hmer Package
Modeling complex real-world situations such as infectious diseases, geological phenomena, and biological processes can present a dilemma: the computer model (referred to as
a simulator) needs to be complex enough to capture the dynamics of the…
a simulator) needs to be complex enough to capture the dynamics of the…