A set of annotation maps describing the entire Human
Phenotype Ontology assembled using data from HPO(Data Version:
2013-05-05)
R (>= 2.15), methods, AnnotationDbi (>= 1.9.7)

Analysis similarities between HPO terms and phenotypic
similarity between genes and between diseases.
Yue Deng, Gang Wang, Xiaocheng Huang and Tingting Ma
This package implements multiple similarity measures for
HPO terms, genes and diseases.  It is aiming at phenotype
analysis for gene sets and disease sets.  Functions for HPO
enrichment analysis is also provided.
R (>= 2.13.1), AnnotationDbi, HPO.db, igraph

Yue Deng, Gang Wang, Xiaocheng Huang, Qinhao Wu , Yang Wang and
Tingting Ma

Analysis semantic similarity between HPO terms and HPO-based
phenotypic similarity between genes and between diseases.
Yue Deng, Gang Wang, Xiaocheng Huang, Qinhao Wu , Yang Wang and Tingting Ma
This package implements multiple similarity measures for HPO terms, genes and diseases.
It is aiming at phenotype analysis for gene sets and disease sets.
Functions for HPO enrichment analysis is also provided.
The disease-term and gene-term associations contained in this version
are based on the official HPO data released in January 2014.

Heligman Pollard mortality model parameter estimation using
Bayesian Melding with Incremental Mixture Importance Sampling
MASS, mvtnorm, corpcor, numDeriv, stats, boot
This package provides all the functions necessary to
estimate the 8 parameters of the Heligman Pollard mortality
model using a Bayesian Melding procedure with IMIS as well as
to convert those parameters into age-specifc probabilities of
death and a corresponding life table

Superefficient Estimation of Future Conditional Hazards Based on
Marker Information
c(person(given = "Alex",
family = "Isakson",
role = c("aut", "cre"),
email = "alex.isakson@bayes.city.ac.uk"),
person(given = "Dimitrios",
family = "Bagkavos",
role = "ctb"),
person(given = "Enno",
family = "Mammen",
role = "ctb"),
person(given = "Jens",
family = "Nielsen",
role = "ctb"),
person(given = "Cecile",
family = "Proust-Lima",
role = "ctb")
)
Provides a nonparametric smoothed kernel density estimator for the future conditional hazard when time-dependent covariates are present. It also provides pointwise and uniform confidence bands and a bandwidth selection.
Alex Isakson [aut, cre],
Dimitrios Bagkavos [ctb],
Enno Mammen [ctb],
Jens Nielsen [ctb],
Cecile Proust-Lima [ctb]