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Bayesian statistics, time series, causal inference, state space models, hidden Markov models, visualization.
seqHMM. Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
105KFAS. KFAS: R Package for Exponential Family State Space Models
73bssm. Bayesian Inference of State Space Models
49changer. Change R Package Name
48walker. Bayesian Generalized Linear Models with Time-Varying Coefficients
46Rlibeemd. Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
40tsPI. R package for Bayesian prediction intervals for ARIMA and structural time series models with exogenous variables
9statvis. Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect
8ramcmc. Building blocks for Robust Adaptive Metropolis algorithm
6stannis. Importance sampling correction approach for faster inference for exponential family state space models
4seqs2vars. Codes for the paper "From sequences to variables - rethinking the relationship of sequences and outcomes"
4trapdoor. Estimation of causal effects with small data in the presence of trapdoor variables
4particlefield. Supplementary material for the paper 'Graphical model inference: Sequential Monte Carlo meets deterministic approximations', NIPS 2018.
3dmpm. Codes for replicating the paper "Estimating Causal Effects from Panel Data with Dynamic Multivariate Panel Models"
2finpop. A Bayesian reconstruction of a historical population in Finland 1647-1850
2diagis. Auxiliary functions for importance sampling
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