This function extracts model parameter estimates, fit statistics, and confidence intervals from a fitted delay-discounting model.
Arguments
- fit_dd_object
A fitted delay-discounting model object of class
"fit_dd", created by thefit_dd()function.
Value
A tibble containing the following columns:
id: The participant or group ID (if applicable).term: The model parameter (e.g.,k).estimate: The estimated value of the parameter.std.error: The standard error of the parameter estimate.statistic: The t-statistic for the parameter estimate.p.value: The p-value for the parameter estimate.conf_low: The lower bound of the 95% confidence interval.conf_high: The upper bound of the 95% confidence interval.R2: The coefficient of determination (\(R^2\)).
Examples
data <- data.frame(
id = rep(1:2, each = 6),
x = rep(c(1, 7, 30, 90, 180, 365), 2),
y = c(0.9, 0.5, 0.3, 0.2, 0.1, 0.05, 0.85, 0.55, 0.35, 0.15, 0.1, 0.05)
)
fit <- fit_dd(data, equation = "mazur", method = "two stage")
results_dd(fit)
#> # A tibble: 2 × 22
#> method id term estimate std.error statistic p.value sigma isConv finTol
#> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <dbl>
#> 1 two st… 1 k 0.101 0.0205 4.91 0.00443 0.0680 TRUE 1.49e-8
#> 2 two st… 2 k 0.0878 0.0158 5.55 0.00262 0.0611 TRUE 1.49e-8
#> # ℹ 12 more variables: logLik <dbl>, AIC <dbl>, BIC <dbl>, deviance <dbl>,
#> # df.residual <int>, nobs <int>, R2 <dbl>, auc_regular <dbl>,
#> # auc_log10 <dbl>, auc_ord <dbl>, conf_low <dbl>, conf_high <dbl>