Showing 5 of total 5 results (show query)
adibender
pammtools:Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis
The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and others (2018) <doi: 10.1177/1471082X17748083>) is a powerful model class for the analysis of survival (or time-to-event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2019)), as well as support for left-truncated data as well as competing risks, recurrent events and multi-state settings. pammtools provides tidy workflow for survival analysis with PAMMs, including data simulation, transformation and other functions for data preprocessing and model post-processing as well as visualization.
Maintained by Andreas Bender. Last updated 9 days ago.
additive-modelspammpammtoolspiece-wise-exponentialsurvival-analysis
48 stars 9.32 score 310 scripts 8 dependents
cran
topicmodels:Topic Models
Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.
Maintained by Bettina Grün. Last updated 8 months ago.
8 stars 6.37 score 16 dependents
lucasgodeiro
TextForecast:Regression Analysis and Forecasting Using Textual Data from a Time-Varying Dictionary
Provides functionalities based on the paper "Time Varying Dictionary and the Predictive Power of FED Minutes" (Lima, 2018) <doi:10.2139/ssrn.3312483>. It selects the most predictive terms, that we call time-varying dictionary using supervised machine learning techniques as lasso and elastic net.
Maintained by Lucas Godeiro. Last updated 6 years ago.
15 stars 5.18 score 20 scripts
daniel-jg
SimReg:Similarity Regression
Similarity regression, evaluating the probability of association between sets of ontological terms and binary response vector. A no-association model is compared with one in which the log odds of a true response is linked to the semantic similarity between terms and a latent characteristic ontological profile - 'Phenotype Similarity Regression for Identifying the Genetic Determinants of Rare Diseases', Greene et al 2016 <doi:10.1016/j.ajhg.2016.01.008>.
Maintained by Daniel Greene. Last updated 1 years ago.
2.78 score 6 scripts
bioc
CTDquerier:Package for CTDbase data query, visualization and downstream analysis
Package to retrieve and visualize data from the Comparative Toxicogenomics Database (http://ctdbase.org/). The downloaded data is formated as DataFrames for further downstream analyses.
Maintained by Xavier Escribà-Montagut. Last updated 5 months ago.
softwarebiomedicalinformaticsinfrastructuredataimportdatarepresentationgenesetenrichmentnetworkenrichmentpathwaysnetworkgokegg
2.30 score 2 scripts