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cran
e1071:Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, generalized k-nearest neighbour ...
Maintained by David Meyer. Last updated 7 months ago.
29 stars 11.26 score 2.0k dependents
helske
bssm:Bayesian Inference of Non-Linear and Non-Gaussian State Space Models
Efficient methods for Bayesian inference of state space models via Markov chain Monte Carlo (MCMC) based on parallel importance sampling type weighted estimators (Vihola, Helske, and Franks, 2020, <doi:10.1111/sjos.12492>), particle MCMC, and its delayed acceptance version. Gaussian, Poisson, binomial, negative binomial, and Gamma observation densities and basic stochastic volatility models with linear-Gaussian state dynamics, as well as general non-linear Gaussian models and discretised diffusion models are supported. See Helske and Vihola (2021, <doi:10.32614/RJ-2021-103>) for details.
Maintained by Jouni Helske. Last updated 7 months ago.
bayesian-inferencecppmarkov-chain-monte-carloparticle-filterstate-spacetime-seriesopenblascppopenmp
42 stars 6.43 score 11 scripts
ai-jyc
GENEAread:Package for Reading Binary Files
Functions and analytics for GENEA-compatible accelerometer data into R objects. See topic 'GENEAread' for an introduction to the package. See <https://activinsights.com/technology/geneactiv/> for more details on the GENEActiv device.
Maintained by Jia Ying Chua. Last updated 1 years ago.
4 stars 3.81 score 54 scripts 1 dependents