# get_risk_obj

##### Get the risk set at each bin over an equal distance grid

Get the risk set at each bin over an equal distance grid

##### Usage

```
get_risk_obj(Y, by, max_T, id, is_for_discrete_model = T, n_threads = 1,
min_chunk = 5000)
```

##### Arguments

- Y
Vector of outcome variable

- by
Length of each bin

- max_T
Last observed time

- id
Vector with ids where entries match with outcomes

`Y`

- is_for_discrete_model
`TRUE`

/`FALSE`

for whether the model outcome is discrete. For example, a logit model is discrete whereas what is coined an exponential model in this package is a dynamic model- n_threads
Set to a value greater than one to use

`mclapply`

to find the risk object- min_chunk
Minimum chunk size of ids to use when parallel version is used.

##### Value

A list with the following elements:

`risk_sets`

List of lists with one for each bin. Each of the sub lists have indices that corresponds to the entries of

`Y`

that are at risk in the bin`min_start`

Start time of the first bin

`I_len`

Length of each bin

`d`

Number of bins

`is_event_in`

Indices for which bin an observation

`Y`

is an event.`-1`

if the individual does not die in any of the bins`is_for_discrete_model`

Value of

`is_for_discrete_model`

argument

*Documentation reproduced from package dynamichazard, version 0.3.1, License: GPL-2*