riskfactor_gam: Deprecated alias for `risk_factor_gam()`

Description

riskfactor_gam() is deprecated in favour of risk_factor_gam().

Usage

riskfactor_gam(
  data,
  nclaims = NULL,
  x = NULL,
  exposure = NULL,
  amount = NULL,
  pure_premium = NULL,
  model = "frequency",
  round_x = NULL,
  risk_factor = NULL,
  claim_count = NULL,
  claim_amount = NULL,
  round_risk_factor = NULL
)

Value

See risk_factor_gam().

Arguments

data: A data frame containing portfolio observations.
nclaims: Deprecated. Use claim_count instead.
x: Deprecated. Use risk_factor instead.
exposure: Character string. Exposure column used as an offset or aggregation weight.
amount: Deprecated. Use claim_amount instead.
pure_premium: Optional character string. Row-level risk-premium column. Required for model = "pure_premium" and aggregated using exposure weights.
model: Character string. Response context: "frequency", "severity" or "pure_premium". The deprecated value "burning" maps to "pure_premium".
round_x: Deprecated. Use round_risk_factor instead.
risk_factor: Character string. Numeric continuous risk-factor column in data.
claim_count: Character string. Claim-count column. Required for model = "frequency" and model = "severity".
claim_amount: Optional character string. Total claim-amount column. Required for model = "severity".
round_risk_factor: Optional positive numeric value. The continuous risk factor is rounded to multiples of this value before aggregation and model fitting. This can reduce computation and local volatility when the variable has many distinct values, but it also removes detail.