Latent Class Analysis (LCA) with Familial Dependence in Extended Pedigrees

alpha.compute | computes cumulative logistic coefficients using probabilities |

attrib.dens | associates to a function of density parameter optimization an... |

dens.norm | computes the multinormal density of a given continuous... |

dens.prod.ordi | computes the probability of a given discrete measurement... |

downward | performs the downward step of the peeling algorithm and... |

downward.connect | performs a downward step for a connector |

e.step | performs the E step of the EM algorithm for a single pedigree... |

init.norm | computes initial values for the EM algorithm in the case of... |

init.ordi | computes the initial values for EM algorithm in the case of... |

init.p.trans | initializes the transition probabilities |

lca.model | fits latent class models for phenotypic measurements in... |

model.select | selects a latent class model for pedigree data |

n.param | computes the number of parameters of a model |

optim.const.ordi | performs the M step for the measurement distribution... |

optim.diff.norm | performs the M step for measurement density parameters in... |

optim.equal.norm | performs the M step for measurement density parameters in... |

optim.gene.norm | performs the M step for measurement density parameters in... |

optim.indep.norm | performs the M step for measurement density parameters in... |

optim.noconst.ordi | performs the M step for the measurement distribution... |

optim.probs | performs the M step of the EM algorithm for the probability... |

param.cont | parameters to be used for examples in the case of continuous... |

param.ordi | parameters to be used for examples in the case of discrete or... |

p.compute | computes the probability vector using logistic coefficients |

ped.cont | pedigrees with continuous data to be used for examples |

ped.ordi | pedigrees with discrete or ordinal data to be used for... |

peel | peeling order of pedigrees and couples in pedigrees |

p.post.child | computes the posterior probability of observations of a child |

p.post.found | computes the posterior probability of observations of a... |

probs | probabilities parameters to be used for examples |

upward | performs the upward step of the peeling algorithm of a... |

upward.connect | performs the upward step for a connector |

weight.famdep | performs the computation of triplet and individual weights... |

weight.nuc | performs the computation of unnormalized triplet and... |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.