depmixS4 - Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4

Fits latent (hidden) Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture models, see Visser & Speekenbrink (2010, <DOI:10.18637/jss.v036.i07>).

Last updated 4 years ago

6.81 score 12 stars 4 dependents 416 scripts 1.1k downloads

hmmr - "Mixture and Hidden Markov Models with R" Datasets and Example Code

Datasets and code examples that accompany our book Visser & Speekenbrink (2021), "Mixture and Hidden Markov Models with R", <https://depmix.github.io/hmmr/>.

Last updated 4 years ago

2.00 score 1 stars 7 scripts 187 downloads

glba - General Linear Ballistic Accumulator Models

Analyses response times and accuracies from psychological experiments with the linear ballistic accumulator (LBA) model from Brown and Heathcote (2008). The LBA model is optionally fitted with explanatory variables on the parameters such as the drift rate, the boundary and the starting point parameters. A log-link function on the linear predictors can be used to ensure that parameters remain positive when needed.

Last updated 3 years ago

1.00 score 1 stars 6 scripts 637 downloads

metatest - Fit and Test Metaregression Models

Fits and tests meta regression models and generates a number of useful test statistics: next to t- and z-tests, the likelihood ratio, bartlett corrected likelihood ratio and permutation tests are performed on the model coefficients.

Last updated 6 years ago

1.00 score 3 scripts 383 downloads