Description Usage Details Slots

A `predx`

class for binned probabilistic predictions with sequential numeric bins specified by the (inclusive) lower bound of each bin.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
BinLwr(x)
is.BinLwr(x)
## S4 method for signature 'BinLwr'
predx_to_json(x)
## S4 method for signature 'BinLwr'
as.data.frame(x, row.names = NULL, optional = FALSE,
...)
## S4 method for signature 'BinLwr'
transform_predx(x, to_class, ...)
``` |

Bins are equally spaced and specified by an inclusive lower bound (`lwr`

). If the bin width is 0.1, `lwr`

could be 0, 0.1, 0.2, etc. in which case the bins are 0 <= x < 0.1, 0.1 <= x < 0.2, etc. The non-inclusive upper bound of the final bin is assumed to be the maximum value of `lwr`

plus the uniform bin width. Individual probabilities (`prob`

) must be greater than or equal to 0 and less than or equal to 1 and the vector of probabilities must sum to 1.

`lwr`

and `prob`

must be paired when a BinLwr object is created, but do not need to be in the order of `lwr`

. The BinLwr object will order them.

In JSON and CSV representations, the bins are named `lwr`

and the probabilities are named `prob`

.

`predx`

A numeric matrix with two columns:

`lwr`

and`prob`

.

cdcepi/predx documentation built on Aug. 16, 2019, 6:49 p.m.

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.