Software

Francesco Bartolucci

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Software

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· CQUAD: Stata module to perform conditional maximum likelihood estimation of quadratic exponential models (see A Dynamic Model for Binary Panel Data with Unobserved Heterogeneity Admitting a root-n Consistent Conditional Estimator and Testing for state dependence in binary panel data with individual covariates)

· Software described in the paper “Information matrix for hidden Markov models with covariates”, by F. Bartolucci and A. Farcomeni.

· Software described in the paper A multidimensional finite mixture SEM for non-ignorable missing responses to test items, by S. Bacci and F. Bartolucci.

· R package MultiLCIRT to fit Multidimensional IRT models (http://arxiv.org/abs/1201.4667), by F. Bartolucci

· R package LMest to fit certain Latent Markov models, by F. Bartolucci

· Software described in the paper: Bartolucci, F. and Nigro, V. (2010), A Dynamic Model for Binary Panel Data with Unobserved Heterogeneity Admitting a root-n Consistent Conditional Estimator, Econometrica, 78, pp. 719-733.

· Software described in the paper “Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data” (Computational Statistics and Data Analysis, 2007), by F. Bartolucci and V. Nigro.

· Software described in the paper “A latent Markov model for detecting patterns of criminal activity” (Journal of the Royal Statistical Society – Series A, 2007), by F. Bartolucci, F. Pennoni and B. Francis.

· Software described in the paper “A class of multidimensional IRT models for testing unidimensionality and clustering items” (Psychometrika, 2007), by F. Bartolucci.

· Software described in the paper “A class of latent marginal models for capture-recapture data with continuous covariates” (Journal of the American Statistical Association, 2006), by F. Bartolucci and A. Forcina.

· Software described in the paper “Clustering univariate observations via mixtures of unimodal normal mixtures (Journal of Classification, in press, 22, pp. 203-219), by F. Bartolucci.

· Software described in the paper “The Analysis of Capture-Recapture Data with a Rasch-type Model allowing for Conditional Dependence and Multidimensionality” (Biometrics, 2001), by F. Bartolucci and A. Forcina.