Showing 7 of total 7 results (show query)
kkholst
mets:Analysis of Multivariate Event Times
Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.
Maintained by Klaus K. Holst. Last updated 13 hours ago.
multivariate-time-to-eventsurvival-analysistime-to-eventfortranopenblascpp
14 stars 13.45 score 236 scripts 42 dependents
r-forge
mlogit:Multinomial Logit Models
Maximum Likelihood estimation of random utility discrete choice models, as described in Kenneth Train (2009) Discrete Choice Methods with Simulations <doi:10.1017/CBO9780511805271>.
Maintained by Yves Croissant. Last updated 5 years ago.
9.87 score 1.2k scripts 14 dependents
ingmarvisser
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>).
Maintained by Ingmar Visser. Last updated 4 years ago.
12 stars 6.85 score 308 scripts 4 dependents
theomichelot
hmmTMB:Fit Hidden Markov Models using Template Model Builder
Fitting hidden Markov models using automatic differentiation and Laplace approximation, allowing for fast inference and flexible covariate effects (including random effects and smoothing splines) on model parameters. The package is described by Michelot (2022) <arXiv:2211.14139>.
Maintained by Theo Michelot. Last updated 1 days ago.
54 stars 6.62 score 64 scripts
bioc
globaltest:Testing Groups of Covariates/Features for Association with a Response Variable, with Applications to Gene Set Testing
The global test tests groups of covariates (or features) for association with a response variable. This package implements the test with diagnostic plots and multiple testing utilities, along with several functions to facilitate the use of this test for gene set testing of GO and KEGG terms.
Maintained by Jelle Goeman. Last updated 5 months ago.
microarrayonechannelbioinformaticsdifferentialexpressiongopathways
5.89 score 79 scripts 6 dependents
kpkeller
predkmeans:Covariate Adaptive Clustering
Implements the predictive k-means method for clustering observations, using a mixture of experts model to allow covariates to influence cluster centers. Motivated by air pollution epidemiology settings, where cluster membership needs to be predicted across space. Includes functions for predicting cluster membership using spatial splines and principal component analysis (PCA) scores using either multinomial logistic regression or support vector machines (SVMs). For method details see Keller et al. (2017) <doi:10.1214/16-AOAS992>.
Maintained by Joshua Keller. Last updated 5 years ago.
2.70 score 10 scripts
yong3738
nspmix:Nonparametric and Semiparametric Mixture Estimation
Mainly for maximum likelihood estimation of nonparametric and semiparametric mixture models, but can also be used for fitting finite mixtures. The algorithms are developed in Wang (2007) <doi:10.1111/j.1467-9868.2007.00583.x> and Wang (2010) <doi:10.1007/s11222-009-9117-z>.
Maintained by Yong Wang. Last updated 5 years ago.
1.15 score 14 scripts