Search Results - isPartOf:"Software"

Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS

Bergmeir, Christoph; Benítez, José M. - In: Journal of Statistical Software 46 (2012) i07

Neural networks are important standard machine learning procedures for classification and regression. We describe the R package RSNNS that provides a convenient interface to the popular Stuttgart Neural Network Simulator SNNS. The main features are (a) encapsulation of the relevant SNNS parts in...

Persistent link: https://www.econbiz.de/10010986711

GeoXp: An R Package for Exploratory Spatial Data Analysis

Laurent, Thibault; Ruiz-Gazen, Anne; Thomas-Agnan, Christine - In: Journal of Statistical Software 47 (2012) i02

We present GeoXp, an R package implementing interactive graphics for exploratory spatial data analysis. We use a data set concerning public schools of the French Midi- Pyr ÃÂen ÃÂees region to illustrate the use of these exploratory techniques based on the coupling between a statistical...

Persistent link: https://www.econbiz.de/10010986713

Multi-Objective Parameter Selection for Classifiers

Müssel, Christoph; Lausser, Ludwig; Maucher, Markus; … - In: Journal of Statistical Software 46 (2012) i05

Setting the free parameters of classifiers to different values can have a profound impact on their performance. For some methods, specialized tuning algorithms have been developed. These approaches mostly tune parameters according to a single criterion, such as the cross-validation error....

Persistent link: https://www.econbiz.de/10010986714

survivalBIV: Estimation of the Bivariate Distribution Function for Sequentially Ordered Events Under Univariate Censoring

Moreira, Ana Cristina; Machado, Luís Filipe Meira - In: Journal of Statistical Software 46 (2012) i13

of the bivariate distribution function for censored gap times, using survivalBIV a software application for R. Some … bivariate data (de Un ÃÂa-A ÃÂlvarez and Meira-Machado 2008 and de Un ÃÂa-A ÃÂlvarez and Amorim 2011). The software can also be … weighted. The software is illustrated using data from a bladder cancer study. …

Persistent link: https://www.econbiz.de/10011147881

Interactive and Animated Scalable Vector Graphics and R Data Displays

Nolan, Deborah; Lang, Duncan Temple - In: Journal of Statistical Software 46 (2012) i01

We describe an approach to creating interactive and animated graphical displays using RâÂÂs graphics engine and Scalable Vector Graphics, an XML vocabulary for describing two-dimensional graphical displays. We use the svg() graphics device inR and then post-process the resulting XML...

Persistent link: https://www.econbiz.de/10011147884

Analysis of Questionnaire Data with R

Fricker, Ronald D. - In: Journal of Statistical Software 46 (2012) b01

Persistent link: https://www.econbiz.de/10010833392

R Functions for Sample Size and Probability Calculations for Assessing Consistency of Treatment Effects in Multi-Regional Clinical Trials

Li, Mingyu; Quan, Hui; Chen, Joshua; Tanaka, Yoko; … - In: Journal of Statistical Software 47 (2012) c01

Persistent link: https://www.econbiz.de/10010833394

frailtypack: An R Package for the Analysis of Correlated Survival Data with Frailty Models Using Penalized Likelihood Estimation or Parametrical Estimation

Rondeau, Virginie; Marzroui, Yassin; Gonzalez, Juan R. - In: Journal of Statistical Software 47 (2012) i04

Frailty models are very useful for analysing correlated survival data, when observations are clustered into groups or for recurrent events. The aim of this article is to present the new version of an R package called frailtypack. This package allows to fit Cox models and four types of frailty...

Persistent link: https://www.econbiz.de/10010833395

Coordinate Descent Methods for the Penalized Semiparametric Additive Hazards Model

Gorst-Rasmussen, Anders; Scheike, Thomas H. - In: Journal of Statistical Software 47 (2012) i09

For survival data with a large number of explanatory variables, lasso penalized Cox regression is a popular regularization strategy. However, a penalized Cox model may not always provide the best fit to data and can be difficult to estimate in high dimension because of its intrinsic...

Persistent link: https://www.econbiz.de/10010833396

mathStatica 2.5

Stokes, Barrie - In: Journal of Statistical Software 47 (2012) s01

Persistent link: https://www.econbiz.de/10010833398