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.
- Version1.3.4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- mets citation info
- Last release02/16/2024
Documentation
- VignettedUtility data-frame manipulations
- VignetteAnalysis of multivariate binomial data: family analysis
- VignetteAnalysis of bivariate binomial data: Twin analysis
- VignetteAverage treatment effect (ATE) for Competing risks and binary outcomes
- VignetteTwo-Stage Randomization for for Competing risks and Survival outcomes
- VignetteBinomial Regression for Survival and Competing Risks Data
- VignetteCumulative Incidence Regression
- VignetteGEE cluster standard errors and predictions for glm objects
- VignetteHaplotype Discrete Survival Models
- VignetteDiscrete Interval Censored Survival Models
- VignetteMarginal modelling of clustered survival data
- VignetteMediation Analysis for survival data
- VignetteTwin models
- VignetteRecurrent events
- VignetteAverage treatment effect (ATE) for Restricted mean survival and years lost of Competing risks
- VignetteAverage treatment effect (ATE) based on the Cox and Fine-Gray model
- VignetteA practical guide to Human Genetics with Lifetime Data
- VignetteAnalysis of multivariate survival data
- MaterialREADME
- MaterialNEWS
- In ViewsSurvival
Team
Klaus K. Holst
Thomas Scheike
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 10,656 times in the last 30 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 179 times.
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Last 365 days
This package has been downloaded 113,599 times in the last 365 days. That's a whole lot of downloads. Somewhere, a librarian is trying to figure out why more bandwidth is needed. The day with the most downloads was Jan 13, 2025 with 833 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends1 package
- Imports5 packages
- Suggests10 packages
- Linking To3 packages
- Reverse Imports2 packages
- Reverse Suggests3 packages