predict.ReSurvFit {ReSurv} | R Documentation |
Predict IBNR frequency
Description
This function predicts the results from the ReSurv fits.
Usage
## S3 method for class 'ReSurvFit'
predict(
object,
newdata = NULL,
grouping_method = "probability",
check_value = 1.85,
...
)
Arguments
object |
|
newdata |
|
grouping_method |
Default is |
check_value |
|
... |
Additional arguments to pass to the predict function. |
Value
Predictions for the ReSurvFit
model. It includes
ReSurvFit
: FittedReSurv
model.long_triangle_format_out
:data.frame
. Predicted development factors and IBNR claim counts for each feature combination in long format.input_granularity
:data.frame
. Predictions for each feature combination in long format forinput_time_granularity
.AP_i
: Accident period,input_time_granularity
.DP_i
: Development period,input_time_granularity
.f_i
: Predicted development factors,input_time_granularity
.group_i
: Group code,input_time_granularity
. This associates to each feature combination an identifier.expected_counts
: Expected counts,input_time_granularity
.IBNR
: Predicted IBNR claim counts,input_time_granularity
.
output_granularity
:data.frame
. Predictions for each feature combination in long format foroutput_time_granularity
.AP_o
: Accident period,output_time_granularity
.DP_o
: Development period,output_time_granularity
.f_o
: Predicted development factors,output_time_granularity
.group_o
: Group code,output_time_granularity
. This associates to each feature combination an identifier.expected_counts
: Expected counts,output_time_granularity
.IBNR
: Predicted IBNR claim counts,output_time_granularity
.
lower_triangle
: Predicted lower triangle.input_granularity
:data.frame
. Predicted lower triangle forinput_time_granularity
.output_granularity
:data.frame
. Predicted lower triangle foroutput_time_granularity
.
predicted_counts
:numeric
. Predicted total frequencies.grouping_method
:character
. Chosen grouping method.