stratEst.test {stratEst}

Runs t-tests if model parameters differ from user defined values

Description

Runs t-tests if model parameters differ from user defined values

Usage

stratEst.test(
  model,
  par = c("shares", "probs", "trembles", "coefficients"),
  values = NA,
  alternative = "two.sided",
  coverage = 0.95,
  digits = 4,
  plot.tests = TRUE
)

Arguments

model

a fitted model of class stratEst.model.

par

a character vector. The class of model parameters to be tested. Default is c("shares","probs","trembles", "coefficients").

values

a numeric vector. The values the parameter estimates are compared to. Default is NA which means zero.

alternative

a character string. The alternative hypothesis. Options are "two.sided", "greater" or "less". Default is "two.sided".

coverage

a probability. The coverage of the plotted confidence intervals. Default is 0.95.

digits

an integer. The number of digits of the result.

plot.tests

a logical. Plots tests if TRUE.

Details

The test function of the package.

Value

A data.frame with one row for each tested parameter and 6 variables:

estimate

the parameter estimate.

diff

the difference between the estimated parameter and the numeric value.

std.error

the standard error of the estimated parameter.

t.value

the TRUE statistic.

res.degrees

the residual degrees of freedom of the model.

p.value

the p value of the TRUE statistic.

References

Wang Z, Xu B, Zhou HJ (2014). "Social Cycling and Conditional Responses in the Rock-Paper-Scissors Game." Scientific Reports, 4(1), 2045-2322.

Examples

## Test if the choice probabilities of a mixed strategy for rock-paper-scissors.
## The rock-paper-scissors data is from Wang, Xu, and Zhou (2014).
model.mixed <- stratEst.model(data = data.WXZ2014, strategies = strategies.RPS["mixed"])
t.probs <- stratEst.test(model = model.mixed, par = "probs", values = 1/3)
print(t.probs)