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hmmr (version 1.0-0)
"Mixture and Hidden Markov Models with R" Datasets and Example Code
Description
Datasets and code examples that accompany our book Visser & Speekenbrink (2021), "Mixture and Hidden Markov Models with R",
.
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Version
Version
1.0-0
Install
install.packages('hmmr')
Monthly Downloads
375
Version
1.0-0
License
GPL (>= 2)
Maintainer
Ingmar Visser
Last Published
May 27th, 2021
Functions in hmmr (1.0-0)
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confint
Confidence intervals Visser et al (2000)
speed_boot_par
speed boot par
simplehmm
Hmm toy data set from Visser et al (2000)
speed1
Speed Accuracy Switching Data
balance8pars
Parameter estimates of models for the balance8 data set
disc42
Discrimination Learning Data
discrimination
Discrimination Learning Data
speed_boot_LR
speed boot LR
conservation
Conservation of liquid
speed_boot_LR_extra
speed boot LR
dccs
Dimensional Change Card Sort Task Data
WPT
Weather Prediction Task Data
perth
Perth dams water levels.
MNAR_simulation_results
Missing not at random (MNAR) simulation results.
hmm
Fit hidden Markov and latent class models.
dccs_boot_LR
dccs boot LR
SEsamples
Bootstrap Samples for Simple 2-State Model
balance8
Repeated measures on the balance scale
MAR_simulation_results
Missing at random (MAR) simulation results.
FFBS_BinomialNormal
Posterior (MCMC) samples for a hidden Markov model with a Binomial and Normal response using the forward-filtering backward-sampling algorithm.
IGT
Iowa Gambling Task data