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depmixS4: An R Package for Hidden Markov Models
Open accessAbstract
depmixS4 implements a general framework for defining and estimating dependent mixture models in the R programming language. This includes standard Markov models, latent/hidden Markov models, and latent class and finite mixture distribution models. The models can be fitted on mixed multivariate data with distributions from the glm family, the (logistic) multinomial, or the multivariate normal distribution. Other distributions can be added easily, and an example is provided with the exgaus distribution. Parameters are estimated by the expectation-maximization (EM) algorithm or, when (linear) constraints are imposed on the parameters, by direct numerical optimization with the Rsolnp or Rdonlp2 routines.
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Statistical Inference for Probabilistic Functions of Finite State Markov Chains
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Generalized Additive Models for Location Scale and Shape (GAMLSS) in R
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Nguena Nguefack, H. L., Pagé, M. G., Katz, J., Choinière, M., Vanasse, A., Dorais, M., Samb, O. M., & Lacasse, A. (2020) · Clinical Epidemiology · doi:10.2147/clep.s265287 · Cited by 527
Michelot, T., Langrock, R., & Patterson, T. A. (2016) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12578 · Cited by 432
Parent-of-origin-specific signatures of de novo mutations
Goldmann, J. M., Wong, W. S. W., Pinelli, M., Farrah, T., Bodian, D., Stittrich, A. B., Glusman, G., Vissers, L. E. L. M., Hoischen, A., Roach, J. C., et al. (2016) · Nature Genetics · doi:10.1038/ng.3597 · Cited by 334
Discrete Time Markov Chains with R
Spedicato, G. (2017) · The R Journal · doi:10.32614/rj-2017-036 · Cited by 148
Scaling of Advanced Theory-of-Mind Tasks
Osterhaus, C., Koerber, S., & Sodian, B. (2016) · Child Development · doi:10.1111/cdev.12566 · Cited by 147
Metadata
- Authors
- Visser, I., & Speekenbrink, M.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2010
- Volume
- 36
- Issue
- 7
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W2152315455
- Cited by
- 419
- References
- 26
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
