R topics documented: lestat-package........................................ 3 anovatable.......................................... 3 betabinomial........................................ 4 betadistribution....................................... 5 binomialbeta........................................ 6 binomialdistribution..................................... 7 cdf.............................................. 7 compose........................................... 8 conditional......................................... 9 contrast........................................... 10 1 2 R topics documented: credibilityinterval...................................... 10 designBalanced....................................... 11 designFactorial...................
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide vari...
Description Within the context of the linear regression model, this package pro-vides tools for the ...
R topics documented: cumhaz........................................... 2 eval.logreg...................
The popularity of Bayesian statistical methods has increased dramatically in recent years across man...
R topics documented: cumhaz........................................... 2 eval.logreg...................
The exponential growth of social data both in volume and complexity has increasingly exposed many of...
R topics documented: Bergm-package....................................... 2 abergm.....................
With computational advances, Bayesian modeling is becoming more accessible. But because Bayesian thi...
In this summary we introduce the papers published in the special issue on Bayesian statistics. This ...
There is an explosion of interest in Bayesian statistics, primarily because recently created computa...
This document describes the new features in version 2.x of the tgp package for R, implementing treed...
From simple NLMs to complex GLMMs, this book describes how to use the GUI for WinBUGS - BugsXLA - an...
sjstats 0.15.0 General Added new Vignette Statistics for Bayesian Models. New functions equi...
Compared with traditional statistics, only a few social scientists employ Bayesian analyses. The exi...
The tutorial will provide a motivation for, an overview of and an introduction to the fields of stat...
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide vari...
Description Within the context of the linear regression model, this package pro-vides tools for the ...
R topics documented: cumhaz........................................... 2 eval.logreg...................
The popularity of Bayesian statistical methods has increased dramatically in recent years across man...
R topics documented: cumhaz........................................... 2 eval.logreg...................
The exponential growth of social data both in volume and complexity has increasingly exposed many of...
R topics documented: Bergm-package....................................... 2 abergm.....................
With computational advances, Bayesian modeling is becoming more accessible. But because Bayesian thi...
In this summary we introduce the papers published in the special issue on Bayesian statistics. This ...
There is an explosion of interest in Bayesian statistics, primarily because recently created computa...
This document describes the new features in version 2.x of the tgp package for R, implementing treed...
From simple NLMs to complex GLMMs, this book describes how to use the GUI for WinBUGS - BugsXLA - an...
sjstats 0.15.0 General Added new Vignette Statistics for Bayesian Models. New functions equi...
Compared with traditional statistics, only a few social scientists employ Bayesian analyses. The exi...
The tutorial will provide a motivation for, an overview of and an introduction to the fields of stat...
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide vari...
Description Within the context of the linear regression model, this package pro-vides tools for the ...
R topics documented: cumhaz........................................... 2 eval.logreg...................