t_fit | R Documentation |
This function fits the Student's t distribution to a given data vector using the fit.tuv
function
from the ghyp
package. It returns the estimated parameters along with the AIC and BIC
values for the fitted distribution.
t_fit(vec)
vec |
a numeric vector containing the data to be fitted. |
a list containing the following elements:
a numeric vector of length 5 containing the estimated values for the parameters of the fitted distribution: lambda (location), alpha (scale), mu (degrees of freedom), sigma (standard deviation), and gamma (skewness).
the Akaike information criterion (AIC) value for the fitted distribution.
the Bayesian information criterion (BIC) value for the fitted distribution.
norm_fit
, cauchy_fit
, ghd_fit
, hd_fit
,
sym.ghd_fit
, sym.hd_fit
, vg_fit
, sym.vg_fit
,
nig_fit
, ged_fit
, skew.t_fit
, skew.normal_fit
,
skew.ged_fit
stock_prices <- c(10, 11, 12, 13, 14, 17, 18)
returns <- diff(log(stock_prices))
t_fit(returns)
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