crashDat: Crash Dataset: Calibration of Crash Dummies in Automobile...
In elrm: Exact Logistic Regression via MCMC
Description
Data from 58 simulated car crashes were analyzed. The relationship between the crash outcome (fatal, non-fatal) and 3 covariates was modeled.
Usage
1
Format
Matrix with columns:
[,1] age numeric designed age of the crash dummy
[,2] vel numeric velocity of the car at impact
[,3] acl numeric acceleration of the car at impact
[,4] y numeric outcome from test (1=fatal, 0=non-fatal)
[,5] n numeric number of binomial trials. For this data, n is a vector of ones, thus each trial is modeled as a Bernoulli random variable.
elrm documentation built on Oct. 26, 2021, 9:07 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Data from 58 simulated car crashes were analyzed. The relationship between the crash outcome (fatal, non-fatal) and 3 covariates was modeled.
Usage
1 |
Format
Matrix with columns:
| [,1] | age | numeric | designed age of the crash dummy |
| [,2] | vel | numeric | velocity of the car at impact |
| [,3] | acl | numeric | acceleration of the car at impact |
| [,4] | y | numeric | outcome from test (1=fatal, 0=non-fatal) |
| [,5] | n | numeric | number of binomial trials. For this data, n is a vector of ones, thus each trial is modeled as a Bernoulli random variable. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.