fit_beta_1exp: Fit beta distribution for one expert
In tipmap: Tipping Point Analysis for Bayesian Dynamic Borrowing
fit_beta_1exp R Documentation
Fit beta distribution for one expert
Description
Fit beta distribution to data elicited from one expert via the roulette method.
Usage
fit_beta_1exp(df)
Arguments
df
A dataframe generated by get_model_input_1exp.
Details
This function is based on SHELF::fitdist and yields identical results.
Value
Parameters (alpha and beta) of a beta fit.
See Also
get_model_input_1exp and fit_beta_mult_exp.
Examples
chips <- c(0, 2, 3, 2, 1, 1, 1, 0, 0, 0)
x <- get_cum_probs_1exp(chips)
y <- get_model_input_1exp(x)
fit_beta_1exp(df = y)["par"]
tipmap documentation built on Aug. 14, 2023, 5:09 p.m.
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| fit_beta_1exp | R Documentation |
Fit beta distribution for one expert
Description
Fit beta distribution to data elicited from one expert via the roulette method.
Usage
fit_beta_1exp(df)
Arguments
df |
A dataframe generated by |
Details
This function is based on SHELF::fitdist and yields identical results.
Value
Parameters (alpha and beta) of a beta fit.
See Also
get_model_input_1exp and fit_beta_mult_exp.
Examples
chips <- c(0, 2, 3, 2, 1, 1, 1, 0, 0, 0)
x <- get_cum_probs_1exp(chips)
y <- get_model_input_1exp(x)
fit_beta_1exp(df = y)["par"]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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