rpsftm
Rank Preserving Structural Failure Time Models
Implements methods described by the paper Robins and Tsiatis (1991) doi:10.1080/03610929108830654. These use g-estimation to estimate the causal effect of a treatment in a two-armed randomised control trial where non-compliance exists and is measured, under an assumption of an accelerated failure time model and no unmeasured confounders.
- Version1.2.9
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Languageen-GB
- Last release03/12/2024
Documentation
Team
Simon Bond
Annabel Allison
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 297 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,659 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 216 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.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Suggests4 packages