update_algorithm {countts}

Updating parameters in algorithm

Description

Updating parameters in algorithm

Usage

update_algorithm(
  dist = c("Negative Binomial", "Poisson", "Linear TS", "ZIP", "ZINB"),
  Y_dist = 2,
  X_dist = 3,
  alpha_dist = 4,
  Bt = NULL,
  bt = NULL
)

Arguments

dist

tuning parameter that controls which algorithm should be updated, with the options "Negative Binomial", "Poisson", "Linear TS", "ZIP", "ZINB"

Y_dist

History of the observed stochastic outcome at the current decision time

X_dist

History of the observed context at the current decision time

alpha_dist

tuning parameter that controls the exploration-exploitation tradeoff. Default is 1.

Bt

Outer product of contexts, only for dist = "Linear TS", default is NULL

bt

Sum of contexts weighted by the outcome, only for dist = "Linear TS", default is NULL.

Value

The updated parameter estimates.

Examples

update_algorithm(dist = "Negative Binomial")