get_model_input_1exp {tipmap} | R Documentation |
Transform cumulative probabilities to fit beta distributions
Description
Transform cumulative probabilities to fit beta distributions
Usage
get_model_input_1exp(cum_probs, w = NULL)
Arguments
cum_probs |
Numeric vector, containing cumulative probabilities of weights for one expert, as elicited through the roulette method. Each element of the vector represents one bin in the grid. |
w |
Numeric vector, upper interval limit of bin (defaults to |
Value
Dataframe to be used as input to fit beta distributions by fit_beta_1exp
.
See Also
get_cum_probs_1exp
and fit_beta_1exp
.
Examples
chips <- c(0, 2, 3, 2, 1, 1, 1, 0, 0, 0)
x <- get_cum_probs_1exp(chips)
print(x)
y <- get_model_input_1exp(x)
print(y)
[Package tipmap version 0.5.2 Index]