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Documentos de Trabajo 2007-2006
DT_07_01-Caracterización de la evolución del número de personas privadas de libertad
- Silvia Rodríguez Collazo, Laura Nalbarte
- Setiembre de 2007
- Descargar
DT_06_02Pruebas Diagnósticas: Una aplicación a la Teoría de Respuesta al Item, aproximación Clásica y Bayesiana
- Leticia Debera, Laura Nalbarte
- Octubre de 2006
- Descargar
DT_06_01-Elaboración de pruebas Diagnósticas al ingreso a la Facultad De Ciencias Económicas y Administración – UDELAR
- Silvia Altmark, Andrés Castrillejo, Leticia Debera, Laura Nalbarte (Coordinadora)
- Julio de 2006
- Descargar
The R Journal- Measurement Units in R Mayo 18, 2017Edzer Pebesma, Thomas Mailund and James Hiebert. Measurement Units in R. The R Journal, 8(2):486-494, Dec. 2016.The R Journal
- Ake: An R Package for Discrete and Continuous Associated Kernel Estimations Mayo 18, 2017Wanbitching E. Wansouwé, Sobom M. Somé and Célestin C. Kokonendji. Ake: An R Package for Discrete and Continuous Associated Kernel Estimations. The R Journal, 8(2):258-276, Dec. 2016.The R Journal
- IsoGeneGUI: Multiple Approaches for Dose-Response Analysis of Microarray Data Using R Mayo 18, 2017Martin Otava, Rudradev Sengupta, Ziv Shkedy, Dan Lin, Setia Pramana, Tobias Verbeke, Philippe Haldermans, Ludwig A. Hothorn, Daniel Gerhard, Rebecca M. Kuiper, Florian Klinglmueller and Adetayo Kasim. IsoGeneGUI: Multiple Approaches for Dose-Response Analysis of Microarray Data Using R. The R Journal. Accepted, may change after copy-editing.The R Journal
- Measurement Units in R Mayo 18, 2017
- Journal of Statistical Software
- Introduction to Scientific Programming and Simulation Using R (2nd Edition) Junio 21, 2017
- Multivariate-From-Univariate MCMC Sampler: The R Package MfUSampler Junio 13, 2017The R package MfUSampler provides Markov chain Monte Carlo machinery for generating samples from multivariate probability distributions using univariate sampling algorithms such as the slice sampler and the adaptive rejection sampler. The multivariate wrapper performs a full cycle of univariate sampling steps, one coordinate at a time. In each step, the latest sample values obtained […]
- PrevMap: An R Package for Prevalence Mapping Junio 9, 2017In this paper we introduce a new R package, PrevMap, for the analysis of spatially referenced prevalence data, including both classical maximum likelihood and Bayesian approaches to parameter estimation and plug-in or Bayesian prediction. More specifically, the new package implements fitting of geostatistical models for binomial data, based on two distinct approaches. The first approach […]
- somoclu: An Efficient Parallel Library for Self-Organizing Maps Junio 9, 2017somoclu is a massively parallel tool for training self-organizing maps on large data sets written in C++. It builds on OpenMP for multicore execution, and on MPI for distributing the workload across the nodes in a cluster. It is also able to boost training by using CUDA if graphics processing units are available. A sparse […]
- KFAS: Exponential Family State Space Models in R Junio 9, 2017State space modeling is an efficient and flexible method for statistical inference of a broad class of time series and other data. This paper describes the R package KFAS for state space modeling with the observations from an exponential family, namely Gaussian, Poisson, binomial, negative binomial and gamma distributions. After introducing the basic theory behind […]
- cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models Junio 9, 2017We illustrate the R package cquad for conditional maximum likelihood estimation of the quadratic exponential (QE) model proposed by Bartolucci and Nigro (2010) for the analysis of binary panel data. The package also allows us to estimate certain modified versions of the QE model, which are based on alternative parametrizations, and it includes a function […]
- msBP: An R Package to Perform Bayesian Nonparametric Inference Using Multiscale Bernstein Polynomials Mixtures Junio 7, 2017msBP is an R package that implements a new method to perform Bayesian multiscale nonparametric inference introduced by Canale and Dunson (2016). The method, based on mixtures of multiscale beta dictionary densities, overcomes the drawbacks of Pólya trees and inherits many of the advantages of Dirichlet process mixture models. The key idea is that an […]
- Rgbp: An R Package for Gaussian, Poisson, and Binomial Random Effects Models with Frequency Coverage Evaluations Junio 6, 2017Rgbp is an R package that provides estimates and verifiable confidence intervals for random effects in two-level conjugate hierarchical models for overdispersed Gaussian, Poisson, and binomial data. Rgbp models aggregate data from k independent groups summarized by observed sufficient statistics for each random effect, such as sample means, possibly with covariates. Rgbp uses approximate Bayesian […]
- pvclass: An R Package for p Values for Classification Junio 5, 2017Let (X, Y) be a random variable consisting of an observed feature vector X and an unobserved class label Y ∈ {1, 2, . . . , L} with unknown joint distribution. In addition, let D be a training data set consisting of n completely observed independent copies of (X, Y). Instead of providing point […]
- libstable: Fast, Parallel, and High-Precision Computation of α-Stable Distributions in R, C/C++, and MATLAB Junio 1, 2017α-stable distributions are a family of well-known probability distributions. However, the lack of closed analytical expressions hinders their application. Currently, several tools have been developed to numerically evaluate their density and distribution functions or to estimate their parameters, but available solutions either do not reach sufficient precision on their evaluations or are excessively slow for […]