Journal of Statistical Software
IF
22.74
Papers
1432
Papers 1427
1 page of 143 pages (1,427 results)
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Published on Jan 1, 2019in Journal of Statistical Software 22.74
Yiyun Shou4
Estimated H-index: 4
,
Michael Smithson24
Estimated H-index: 24
The CDF-quantile family of two-parameter distributions with support (0, 1) described in Smithson and Merkle (2014) and recently elaborated by Smithson and Shou (2017), considerably expands the variety of distributions available for modeling random variables on the unit interval. This family is especially useful for modeling quantiles, and also sometimes out-performs the other distributions. The distributions are very tractable, with a location and dispersion parameter, explicit probability distr...
1 Citations Source Cite
Published on Jan 1, 2019in Journal of Statistical Software 22.74
Jonathon Love8
Estimated H-index: 8
,
Ravi Selker5
Estimated H-index: 5
+ 13 AuthorsSacha Epskamp20
Estimated H-index: 20
This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of ...
1 Citations Source Cite
Published on Jan 1, 2019in Journal of Statistical Software 22.74
The epidemic-type aftershock sequence (ETAS) model is the most widely used statistical model to describe earthquake catalogs. ETAS is an R package for fitting the space-time ETAS model to an earthquake catalog using the stochastic declustering approach introduced by Zhuang, Ogata, and Vere-Jones (2002). The package provides two classes and several functions to facilitate data preparation, model fitting and some simple diagnostic checks. The present paper is a description of the package and illus...
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Published on Jan 1, 2019in Journal of Statistical Software 22.74
Thomas Jaki15
Estimated H-index: 15
,
Philip Pallmann5
Estimated H-index: 5
,
Dominic Magirr6
Estimated H-index: 6
In the early stages of drug development there is often uncertainty about the most promising among a set of different treatments, different doses of the same treatment, or combinations of treatments. Multi-arm multi-stage (MAMS) clinical studies provide an efficient solution to determine which intervention is most promising. In this paper we discuss the R package MAMS that allows designing such studies within the group-sequential framework. The package implements MAMS studies with normal, binary,...
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Published on Jan 1, 2019in Journal of Statistical Software 22.74
David Ardia11
Estimated H-index: 11
(University of Neuch√Ętel),
Kris Boudt13
Estimated H-index: 13
(VU University Amsterdam),
Leopoldo Catania3
Estimated H-index: 3
(Aarhus University)
This paper presents the R package GAS for the analysis of time series under the Generalized Autoregressive Score (GAS) framework of Creal et al. (2013) and Harvey (2013). The distinctive feature of the GAS approach is the use of the score function as the driver of time-variation in the parameters of nonlinear models. The GAS package provides functions to simulate univariate and multivariate GAS processes, estimate the GAS parameters and to make time series forecasts. We illustrate the use of the...
2 Citations Source Cite
Published on Jan 1, 2019in Journal of Statistical Software 22.74
Victor Maus3
Estimated H-index: 3
,
Gilberto Camara2
Estimated H-index: 2
+ 1 AuthorsEdzer Pebesma28
Estimated H-index: 28
The opening of large archives of satellite data such as LANDSAT, MODIS and the SENTINELs has given researchers unprecedented access to data, allowing them to better quantify and understand local and global land change. The need to analyze such large data sets has led to the development of automated and semi-automated methods for satellite image time series analysis. However, few of the proposed methods for remote sensing time series analysis are available as open source software. In this paper w...
2 Citations Source Cite
Published on Jan 1, 2019in Journal of Statistical Software 22.74
Satu Helske3
Estimated H-index: 3
,
Jouni Helske3
Estimated H-index: 3
Sequence analysis is being more and more widely used for the analysis of social sequences and other multivariate categorical time series data. However, it is often complex to describe, visualize, and compare large sequence data, especially when there are multiple parallel sequences per subject. Hidden (latent) Markov models (HMMs) are able to detect underlying latent structures and they can be used in various longitudinal settings: to account for measurement error, to detect unobservable states,...
3 Citations Source Cite
Published on Jan 1, 2018in Journal of Statistical Software 22.74
Duncan Lee14
Estimated H-index: 14
(University of Glasgow),
Alastair Rushworth5
Estimated H-index: 5
,
Gary Napier3
Estimated H-index: 3
(University of Glasgow)
Spatial data relating to non-overlapping areal units are prevalent in fields such as economics, environmental science, epidemiology and social science, and a large suite of modeling tools have been developed for analysing these data. Many utilize conditional autoregressive (CAR) priors to capture the spatial autocorrelation inherent in these data, and software packages such as CARBayes and R-INLA have been developed to make these models easily accessible to others. Such spatial data are typicall...
3 Citations Source Cite
Published on Jan 1, 2018in Journal of Statistical Software 22.74
Marcus W. Beck7
Estimated H-index: 7
Supervised neural networks have been applied as a machine learning technique to identify and predict emergent patterns among multiple variables. A common criticism of these methods is the inability to characterize relationships among variables from a fitted model. Although several techniques have been proposed to "illuminate the black box", they have not been made available in an open-source programming environment. This article describes the NeuralNetTools package that can be used for the inter...
7 Citations Source Cite
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