The data sets included in package is described here.
data(FineRoot)
data(ClaimTriangle)
data(AutoClaim)FineRoot: a data set used for the study of the fine root length density of plants. It is a data frame with 511 records and 5 variables:
Plant:identifier of the apple tree, 1-8
Stock:root stokcing, one of three different root stocks: Mark, MM106 and M26
Spacing:between-row \(\times\) within-row spacings, one of the following two: \(4 \times 2\) meters and \(5 \times 3\) meters
Zone:inner or outer
RLD:root length density
ClaimTriangle: a data set from an insurance loss reserving triangle. It is a data frame with 55 records and 3 variables:
year:the year when the accident occurs
lag:development lag
increLoss:incremental insurance loss in 1000s
AutoClaim: a motor insurance data set retrieved from
the SAS Enterprise Miner database. It is a data frame with 10296 records and 29 variables:
POLICYNO:"character", the policy number
PLCYDATE:"Date", policy effective date
CLM_FREQ5:"integer", the number of claims in the past 5 years
CLM_AMT5:"integer", the total claim amount in the past 5 years
CLM_AMT:"integer", the claim amount in the current insured period
KIDSDRIV:"integer", the number of driving children
TRAVTIME:"integer", the distance to work
CAR_USE:"factor", the primary use of the vehicle: "Commercial", "Private".
BLUEBOOK:"integer", the value of the vehicle
RETAINED:"integer", the number of years as a customer
NPOLICY:"integer", the number of policies
CAR_TYPE:"factor", the type of the car: "Panel Truck", "Pickup", "Sedan", "Sports Car", "SUV", "Van".
RED_CAR:"factor", whether the color of the car is red: "no", "yes".
REVOLKED:"factor", whether the dirver's license was invoked in the past 7 years: "No", "Yes",
MVR_PTS:"integer", MVR violation records
CLM_FLAG:"factor", whether a claim is reported: "No", "Yes".
AGE:"integer", the age of the driver
HOMEKIDS:"integer", the number of children
YOJ:"integer", years at current job
INCOME:"integer", annual income
GENDER:"factor", the gender of the driver: "F", "M".
MARRIED:"factor", married or not: "No", "Yes".
PARENT1:"factor", single parent: "No", "Yes".
JOBCLASS:"factor": "Unknown", "Blue Collar", "Clerical", "Doctor", "Home Maker", "Lawyer", "Manager", "Professional", "Student".
MAX_EDUC:"factor", max education level:"<High School", "Bachelors", "High School", "Masters", "PhD".
HOME_VAL:"integer", the value of the insured's home
SAMEHOME:"integer", years in the current address
DENSITY:"factor", home/work area: "Highly Rural", "Highly Urban", "Rural", "Urban".
IN_YY:"logical", whether the record is used in the Yip and Yau (2005) paper.