pt_strategies: Asssess expected learning from a host of strategies.

In macartan/biqq: Package for BIQQ analysis as described in Jacobs, Humphreys (2016)

Description

Asssess expected learning from a host of strategies.

Usage

pt_strategies(model, ops, query, m_W = 1, m_K = 1,
  n = length(model$var_names), possible_Ws = possible_W(n, m_W),
  possible_Ks = possible_K(n, m_K), sims = 2000, round = 2,
  Rsq = FALSE, f = var, U = NULL, symbol_unknown = "?")

Arguments

model	a fitted pt model
m_w	Number of Ws to look at
m_k	Number of Ks to look at

Examples

model <- pt_model()
ops = list(c(0, NA, NA, NA, NA), c(1, NA, NA, NA, NA))
query = function(x) (x[[1]][5] ==1) & (x[[2]][5] == 0)
pt_strategies(model = model, ops = ops, query = query, sims = 100)

macartan/biqq documentation built on May 6, 2019, 6:03 p.m.