Search Results - isPartOf:"Software"

IndElec: A Software for Analyzing Party Systems and Electoral Systems

Ocaña, Francisco; Oñate, Pablo - In: Journal of Statistical Software 42 (2011) i06

IndElec is a software addressed to compute a wide range of indices from electoral data, which are intended to analyze … amount of information provided by IndElec may be considerable, this software also aids the user in the analysis of electoral … loaded by any statistical software to facilitate more sophisticated statistical studies. Third, IndElec provides results in …

Persistent link: https://www.econbiz.de/10009245451

Implementing Panel-Corrected Standard Errors in R: The pcse Package

Bailey, Delia; Katz, Jonathan N. - In: Journal of Statistical Software 42 (2011) c01

Persistent link: https://www.econbiz.de/10009245452

LS2W: Implementing the Locally Stationary 2D Wavelet Process Approach in R

Eckley, Idris A.; Nason, Guy P. - In: Journal of Statistical Software 43 (2011) i03

Locally stationary process representations have recently been proposed and applied to both time series and image analysis applications. This article describes an implementation of the locally stationary two-dimensional wavelet process approach in R. This package permits construction of estimates...

Persistent link: https://www.econbiz.de/10009245453

State Space Methods in Ox/SsfPack

Pelagatti, Matteo M. - In: Journal of Statistical Software 41 (2011) i03

of the software to real world problems through short sample programs. The first case consists in the analysis of the well …

Persistent link: https://www.econbiz.de/10009245454

Bayesian Analysis for Food-Safety Risk Assessment: Evaluation of Dose-Response Functions within WinBUGS

Williams, Michael S.; Ebel, Eric D.; Hoeting, Jennifer A. - In: Journal of Statistical Software 43 (2011) c02

Persistent link: https://www.econbiz.de/10009245455

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

Ho, Daniel; Imai, Kosuke; King, Gary; Stuart, Elizabeth A. - In: Journal of Statistical Software 42 (2011) i08

assumptions. The software also easily fits into existing research practices since, after preprocessing data with MatchIt …

Persistent link: https://www.econbiz.de/10009245456

Genetic Optimization Using Derivatives: The rgenoud Package for R

Walter R. Mebane Jr.; Sekhon, Jasjeet S. - In: Journal of Statistical Software 42 (2011) i11

genoud is an R function that combines evolutionary algorithm methods with a derivative-based (quasi-Newton) method to solve difficult optimization problems. genoud may also be used for optimization problems for which derivatives do not exist. genoud solves problems that are nonlinear or perhaps...

Persistent link: https://www.econbiz.de/10009245457

REGCMPNT : A Fortran Program for Regression Models with ARIMA Component Errors

Bell, William R. - In: Journal of Statistical Software 41 (2011) i07

RegComponent models are time series models with linear regression mean functions and error terms that follow ARIMA (autoregressive-integrated-moving average) component time series models. Bell (2004) discusses these models and gives some underlying theoretical and computational results. The...

Persistent link: https://www.econbiz.de/10009245458

Distributed Lag Linear and Non-Linear Models in R: The Package dlnm

Gasparrini, Antonio - In: Journal of Statistical Software 43 (2011) i08

Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe associations showing potentially non-linear and delayed effects in time series data. This methodology rests on the definition of a <em>crossbasis</em>, a bi-dimensional functional space expressed by the...

Persistent link: https://www.econbiz.de/10009245459

bayesTFR: An R package for Probabilistic Projections of the Total Fertility Rate

Ševčíková, Hana; Alkema, Leontine; Raftery, Adrian - In: Journal of Statistical Software 43 (2011) i01

The bayesTFR package for R provides a set of functions to produce probabilistic projections of the total fertility rate (TFR) for all countries. In the model, a random walk with drift is used to project the TFR during the fertility transition, using a Bayesian hierarchical model to estimate the...

Persistent link: https://www.econbiz.de/10009245460