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3320133210 of 39591 results
64714.
Amelia II "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables.
Description
(no translation yet)
Located in Package: r-cran-amelia
64715.
The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The program works from the R command line or via a graphical user interface that does not require users to know R.
Description
(no translation yet)
Located in Package: r-cran-amelia
64716.
GNU R: A MORE flexible neural network package
Summary
(no translation yet)
Located in Package: r-cran-amore
64717.
This package was born to release the TAO robust neural network algorithm to the R users. It has grown and can be of interest for the users wanting to implement their own training algorithms as well as for those others whose needs lye only in the "user space".
Description
(no translation yet)
Located in Package: r-cran-amore
64718.
GNU R package that provides tools for base64 encoding
Summary
(no translation yet)
Located in Package: r-cran-base64enc
64719.
This package provides tools for handling base64 encoding. It is more flexible than the orphaned base64 package.
Description
(no translation yet)
Located in Package: r-cran-base64enc
64720.
GNU R package for Bayesian inference
Summary
(no translation yet)
Located in Package: r-cran-bayesm
64721.
The bayesm package covers many important models used in marketing and micro-econometrics applications. The package includes:
Description
(no translation yet)
Located in Package: r-cran-bayesm
64722.
* Bayes Regression (univariate or multivariate dep var)
* Multinomial Logit (MNL) and Multinomial Probit (MNP)
* Multivariate Probit,
* Multivariate Mixtures of Normals
* Hierarchical Linear Models with normal prior and covariates
* Hierarchical Multinomial Logits with mixture of normals prior and
covariates
* Bayesian analysis of choice-based conjoint data
* Bayesian treatment of linear instrumental variables models
* Analyis of Multivariate Ordinal survey data with scale usage heterogeneity
(as in Rossi et al, JASA (01)).
Description
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(no translation yet)
Located in Package: r-cran-bayesm
64723.
For further reference, consult the authors' book, _Bayesian Statistics and Marketing_ by Allenby, McCulloch and Rossi.
Description
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Located in Package: r-cran-bayesm
3320133210 of 39591 results

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