binnest |
Binary Random Effects Models with Two Levels of Nesting |

biv.betab |
Bivariate Beta-binomial Regression Models |

biv.binom |
Marginal Bivariate Binomial Regression Models |

capture |
Capture-recapture Models |

catmiss |
Marginal Probabilities for Categorical Repeated Measurements with Missing Data |

chidden |
Continuous-time Hidden Markov Chain Models |

cmcre |
Continuous-time Two-state Markov Processes with Random Effect |

cphidden |
Changepoint Location using a Continuous-time Two-state Hidden Markov Chain |

fitted.gausscop |
Multivariate Gaussian Copula with Arbitrary Marginals |

gar |
Generalized Autoregression Models |

gausscop |
Multivariate Gaussian Copula with Arbitrary Marginals |

glmm |
Generalized Linear Mixed Models |

gnlmix |
Generalized Nonlinear Regression with a Random Parameter |

gnlmm |
Generalized Nonlinear Mixed Models |

gnlmm3 |
Generalized Nonlinear Mixed Models for Three-parameter Distributions |

hidden |
Discrete-time Hidden Markov Chain Models |

hnlmix |
Generalized Nonlinear Regression using h-likelihood for a Random Parameter |

kalcount |
Repeated Measurements Models for Counts with Frailty or Serial Dependence |

kalseries |
Repeated Measurements Models for Continuous Variables with Frailty or Serial Dependence |

logitord |
Ordinal Random Effects Models with Dropouts |

marg.hom |
Marginal Homogeneity Models |

nbkal |
Negative Binomial Models with Kalman Update |

plot.hidden |
Discrete-time Hidden Markov Chain Models |

repeated |
Non-normal Repeated Measurements Library |

residuals.gausscop |
Multivariate Gaussian Copula with Arbitrary Marginals |

volatility.gar |
Generalized Autoregression Models |