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Changes In R, R Core Team

The R Journal

CHANGES IN R 3.5.2

CHANGES IN R 3.5.1

Conference Report: Why R? 2018, Michał Burdukiewicz, Marta Karas, Leon Eyrich Jessen, Marcin KosińSki, Bernd Bischl, Stefan Rödiger

The R Journal

The primary purpose of the Why R? 2018 conference was to provide R programming language enthusiasts with an opportunity to meet and discuss experiences in R software development and analysis applications, for both academia and industry professionals. The event was held 2-5 August, 2018 in a city of Wroclaw, a strong academic and business center of Poland. The total of approximately 250 people from 6 countries attended the main conference event. Additionally, approximately 540 R users attended the pre-meetings in eleven cities across Europe (Figure 2).

Shinyitemanalysis For Teaching Psychometrics And To Enforce Routine Analysis Of Educational Tests, Patrícia Martinková, Adéla Drabinová

The R Journal

This work introduces ShinyItemAnalysis, an R package and an online shiny application for psychometric analysis of educational tests and items. ShinyItemAnalysis covers a broad range of psychometric methods and offers data examples, model equations, parameter estimates, interpretation of results, together with a selected R code, and is therefore suitable for teaching psychometric concepts with R. Furthermore, the application aspires to be an easy-to-use tool for analysis of educational tests by allowing the users to upload and analyze their own data and to automatically generate analysis reports in PDF or HTML. We argue that psychometric analysis should be a routine …

Dynamic Simulation And Testing For Single-Equation Cointegrating And Stationary Autoregressive Distributed Lag Models, Soren Jordan, Andrew Q. Philips

The R Journal

While autoregressive distributed lag models allow for extremely flexible dynamics, interpreting the substantive significance of complex lag structures remains difficult. In this paper we discuss dynamac (dynamic autoregressive and cointegrating models), an R package designed to assist users in estimating, dynamically simulating, and plotting the results of a variety of autoregressive distributed lag models. It also contains a number of post-estimation diagnostics, including a test for cointegration for when researchers are estimating the error-correction variant of the autoregressive distributed lag model.

Bnsp: An R Package For Fitting Bayesian Semiparametric Regression Models And Variable Selection, Georgios Papageorgiou

The R Journal

The R package BNSP provides a unified framework for semiparametric location-scale regression and stochastic search variable selection. The statistical methodology that the package is built upon utilizes basis function expansions to represent semiparametric covariate effects in the mean and variance functions, and spike-slab priors to perform selection and regularization of the estimated effects. In addition to the main function that performs posterior sampling, the package includes functions for assessing convergence of the sampler, summarizing model fits, visualizing covariate effects and obtaining predictions for new responses or their means given feature/covariate vectors.

Idmtpreg: Regression Model For Progressive Illness Death Data, Leyla Azarang, Manuel Oviedo De La Fuente

The R Journal

The progressive illness-death model is frequently used in medical applications. For example, the model may be used to describe the disease process in cancer studies. We have developed a new R package called idmTPreg to estimate regression coefficients in datasets that can be described by the progressive illness-death model. The motivation for the development of the package is a recent contribution that enables the estimation of possibly time-varying covariate effects on the transition probabilities for a progressive illness-death data. The main feature of the package is that it befits both non-Markov and Markov progressive illness-death data. The package implements the …

Forecast Combinations In R Using The Forecastcomb Package, Christoph E. Weiss, Eran Raviv, Gernot Roetzer

The R Journal

This paper introduces the R package ForecastComb. The aim is to provide researchers and practitioners with a comprehensive implementation of the most common ways in which forecasts can be combined. The package in its current version covers 15 popular estimation methods for creating a combined forecasts – including simple methods, regression-based methods, and eigenvector-based methods. It also includes useful tools to deal with common challenges of forecast combination (e.g., missing values in component forecasts, or multicollinearity), and to rationalize and visualize the combination results.

Jsr223: A Java Platform Integration For R With Programming Languages Groovy, Javascript, Jruby, Jython, And Kotlin, Floid R. Gilbert, David B. Dahl

The R Journal

The R package jsr223 is a high-level integration for five programming languages in the Java platform: Groovy, JavaScript, JRuby, Jython, and Kotlin. Each of these languages can use Java objects in their own syntax. Hence, jsr223 is also an integration for R and the Java platform. It enables developers to leverage Java solutions from within R by embedding code snippets or evaluating script f iles. This approach is generally easier than rJava’s low-level approach that employs the Java Native Interface. jsr223’s multi-language support is dependent on the Java Scripting API: an implementation of “JSR-223: Scripting for the Java …

Measurement Errors In R, Iñaki Ucar, Edzer Pebesma, Arturo Azcorra

The R Journal

This paper presents an R package to handle and represent measurements with errors in a very simple way. We briefly introduce the main concepts of metrology and propagation of uncertainty, and discuss related R packages. Building upon this, we introduce the errors package, which provides a class for associating uncertainty metadata, automated propagation and reporting. Working with errors enables transparent, lightweight, less error-prone handling and convenient representation of measurements with errors. Finally, we discuss the advantages, limitations and future work of computing with errors.

Spatial Uncertainty Propagation Analysis With The Spup R Package, Kasia Sawicka, Gerard B.M. Heuvelink, Dennis J.J. Walvoort

The R Journal

Many environmental and geographical models, such as those used in land degradation, agroecological and climate studies, make use of spatially distributed inputs that are known imperfectly. The R package spup provides functions for examining the uncertainty propagation from input data and model parameters onto model outputs via the environmental model. The functions include uncertainty model specification, stochastic simulation and propagation of uncertainty using Monte Carlo (MC) techniques. Uncertain variables are described by probability distributions. Both numerical and categorical data types are handled. The package also accommodates spatial auto-correlation within a variable and cross-correlation between variables. The MC realizations may be …

The Utiml Package: Multi-Label Classification In R, Adriano Rivolli, Andre C.P.L.F. De Carvalho

The R Journal

Learning classification tasks in which each instance is associated with one or more labels are known as multi-label learning. The implementation of multi-label algorithms, performed by different researchers, have several specificities, like input/output format, different internal functions, distinct programming language, to mention just some of them. As a result, current machine learning tools include only a small subset of multi-label decomposition strategies. The utiml package is a framework for the application of classification algorithms to multi-label data. Like the well known MULAN used with Weka, it provides a set of multi-label procedures such as sampling methods, transformation strategies, threshold functions, …

Nsroc: An R Package For Non-Standard Roc Curve Analysis, Sonia Pérez-Fernández, Pablo Martínez-Camblor, Peter Filzmoser, Norberto Corral

The R Journal

The receiver operating characteristic (ROC) curve is a graphical method which has become standard in the analysis of diagnostic markers, that is, in the study of the classification ability of a numerical variable. Most of the commercial statistical software provide routines for the standard ROC curve analysis. Of course, there are also many R packages dealing with the ROC estimation as well as other related problems. In this work we introduce the nsROC package which incorporates some new ROC curve procedures. Particularly: ROC curve comparison based on general distances among functions for both paired and unpaired designs; efficient confidence bands …

Sarima Analysis And Automated Model Reports With Bets, An R Package, Talitha F. Speranza, Pedro C. Ferreira, Jonatha A. Da Costa

The R Journal

This article aims to demonstrate how the powerful features of the R package BETS can be applied to SARIMA time series analysis. BETS provides not only thousands of Brazilian economic time series from different institutions, but also a range of analytical tools, and educational resources. In particular, BETS is capable of generating automated model reports for any given time series. These reports rely on a single function call and are able to build three types of models (SARIMA being one of them). The functions need few inputs and output rich content. The output varies according to the inputs and usually …

Geospatial Point Density, Paul F. Evangelista, David Beskow

The R Journal

This paper introduces a spatial point density algorithm designed to be explainable, meaning ful, and efficient. Originally designed for military applications, this technique applies to any spatial point process where there is a desire to clearly understand the measurement of density and maintain fidelity of the point locations. Typical spatial density plotting algorithms, such as kernel density estimation, implement some type of smoothing function that often results in a density value that is difficult to interpret. The purpose of the visualization method in this paper is to understand spatial point activity density with precision and meaning. The temporal tendency of …

Security Analysis And Recommendations For Coniks As A Pki Solution For Mobile Apps, George Bradley Spendlove

Theses and Dissertations

Secure mobile apps, including end-to-end encrypted messaging apps such as Whats-App and Signal, are increasingly popular today. These apps require trust in a centralized key directory to automatically exchange the public keys used to secure user communication. This trust may be abused by malicious, subpoenaed, or compromised directories. A public key infrastructure (PKI) solution that requires less trust would increase the security of these commonly used apps.CONIKS is a recent PKI proposal that features transparent key directories which publish auditable digests of the public keys they present to queriers. By monitoring its key every time a new digest is published, …

Audio To Architecture: House Music As A Form Generator, Polina Timchenko

Architecture Undergraduate Honors Theses

Contemporary music undergoes similar process of creation to that of the design process through computation and variation. House music as a representation of contemporary culture has a layered structure that allows specific characteristics to identify it as house music. Song components can vary and mix in different orders that form new dynamic compositions. I am going to explore the idea that every house music component can be translated into geometry with the use of parametric design techniques.

Entry Timing In Foreign Markets: A Meta-Analytic Review And Critique, Bernadine J. Dykes, Kalin Kolev

Management Faculty Research and Publications

In this meta-analytic review, we examine the entry timing-firm performance relationship as it has been studied in international business research. In addition, we present several moderating factors that strengthen or weaken that relationship. We find that early entry bears financial advantages in international markets, but those advantages depend on country of entry and origin, industry context, performance measurement, type of entry and time period. We conclude with a discussion of avenues for future research.

Career And Technical Education On Mathematics And Reading Achievement For Students In North Central Arkansas, Kimberley Sartain

College of Education Dissertations

The purpose of this quantitative research study was to determine the effects of gender and Career and Technical Education (CTE) participation level on the mathematics and reading achievement as measured by the ACT Aspire for 10th-grade students and ACT subtest assessments for 11th-grade students in 2 5-A high schools in North Central Arkansas. While researching the effects of gender and CTE participation level, this scholar found no statistically significant difference between gender and CTE participation level on student achievement. This researcher explored the literature relating to the mathematic and reading achievement of males and females as well as whether they …

The Bankruptcy Partition, Douglas G. Baird, Anthony Casey, Randal C. Picker

Articles

No abstract provided.

The Jurisprudence Of Anti-Erosion, Tom Ginsburg

Articles

No abstract provided.

The Keyes Of Constitutional Law, Justin Driver

Articles

No abstract provided.

Treaties And Human Rights: The Role Of Long-Term Trends, Adam S. Chilton, Eric A. Posner

Articles

No abstract provided.

Into The Crucible: Considering The Springboard Doctrine In Cfaa Litigation, Nam Youn Kim

Journal of International Business and Law

No abstract provided.

The War For The Common Soldier: How Men Thought, Fought, And Survived In Civil War Armies, Peter S. Carmichael

Gettysburg College Faculty Books

How did Civil War soldiers endure the brutal and unpredictable existence of army life during the conflict? This question is at the heart of Peter S. Carmichael's sweeping new study of men at war. Based on close examination of the letters and records left behind by individual soldiers from both the North and the South, Carmichael explores the totality of the Civil War experience--the marching, the fighting, the boredom, the idealism, the exhaustion, the punishments, and the frustrations of being away from families who often faced their own dire circumstances. Carmichael focuses not on what soldiers thought but rather how …

An Early Late Cretaceous Nodosaur From The Marine Eagle Ford Group Of North Central Texas, A Test Of The Endothermy In The Mosasaurs From The Late Cretaceous Of Angola, And The Ontogeny Of A New Pipid Frog From The Miocene Of Ethiopia, Matt Clemens

Earth Sciences Theses and Dissertations

The first two chapters of this dissertation detail the study of the newly recovered Holland Farm nodosaur (SMU 77100) from the Eagle Ford Group (95.29 ± 0.04 MA) of Mansfield in north central Texas. The objectives of this research are (1) to describe the anatomy of the Holland Farm nodosaur, (2) to determine its phylogenetic position within Ankylosauria, (3) to elaborate the substantial differences in body size and osteoderm morphology in armored dinosaurs occurring in north central Texas during the short duration of the Late Albian and Early Cenomanian, and (4) to provide a radiometric date for the lowermost member …

Evaluating The Impact Of Age And Time On Sensory And Affective Levels Of Pain Processing, Maxine Kaylen Geltmeier

Psychology Theses - Archive

The relationship between pain and age has been studied for decades. However, research has produced conflicting results for pain thresholds and pain affect in clinical assessments. Likewise, pre-clinical research is conflicting and sparse, limiting the extent of any overarching conclusions. Despite conflicting results on directionality (higher thresholds verses lower thresholds), pain sensitivity and pain affect seem to change with age. Two major arguments have surfaced to explain these differences. The first is, the aging process can lead to changes in peripheral pain signals of pain pathways. The second is, higher order processes that evaluate pain information change with age. For …

Motivators Of Prostitution Desistance, Shawn Nicole Guy

Criminology & Criminal Justice Theses - Archive

The intent of this thesis was to determine the factors that lead to desistance from street prostitution in the form of motivators and how to shape recommendations to courts, social services, and policy-makers based off of identified themes. Additionally, various theories are discussed, supporting the presence of identified motivators and themes, that could be used by interventionsists as guiding principles when working on strategies for prostitution desistance modifications. Without isolating and stratifying motivators and themes, prostitutes who desire to desist may not receive appropiate treatments and interventions and may continue to recidivate with prostitution-related criminal charges. Statements obtained through qualitative …

Strength, Tradition, And Adaptation: Native American Women In Pontiac's War, The Trail Of Tears, And The Wounded Knee Massacre, Stephanie Renee Zwinggi

History Theses - Archive

Native American women have largely been excluded from American history. Although there are a few Native female figures that are highlighted, such as Pocahontas and Sacagawea, the complexities and vastness of Native female cultures have been kept in the shadows. This is unfortunate because of the beauty and strength that lies in the many different traditional Native female cultures. I believe such information should be included in the histories of commonly remembered historical events involving Native American peoples, because it would make the histories richer, more accurate, and more inclusive. Highlighting Native female roles and perspectives in historical events would …

A Cmos Switched Capacitor Filter Based Potentiometric Readout Circuit For Chemfet Sensor, Revathy Perumalsamy

Electrical Engineering Theses - Archive

There are wide ranges of potentiometric sensors available for chemical sensing. The latest implementation of these sensors is CHEM resistors. In real time environment for an in-vivo application area, noise and power are the important factors. Though the selectivity of CHEM resistors improved with recent technological developments analog front end measurement circuits are always the limiting factor. Without compromising the performance parameters like gain and op-swing it is a challenge to improve the noise and power. Noise and power are the two factors which always require improvement. Also, there is trade-off between noise and power which needs to be balanced. …

Distance-Based Cluster Head Election For Mobile Sensing, Ruairí De Fréin, Liam O'Farrell

Conference papers

Energy-efficient, fair, stochastic leader-selection algorithms are designed for mobile sensing scenarios which adapt the sensing strategy depending on the mobile sensing topology. Methods for electing a cluster head are crucially important when optimizing the trade-off between the number of peer-to- peer interactions between mobiles and client-server interactions with a cloud-hosted application server. The battery-life of mobile devices is a crucial constraint facing application developers who are looking to use the convergence of mobile computing and cloud computing to perform environmental sensing. We exploit the mobile network topology, specifically the location of mobiles with respect to the gateway device, to stochastically …