dich_r_logistic: Logistic-distribution-based likelihood function for...
In intelligentaccident/xreg: Flexible maximum likelihood-based regression

Likelihood function to use with xregControl

1	dich_r_logistic(d_df, theta_est = 0, omega_est = 0, internal_id = 0)

`d_df`	data.frame provided by xreg.
`theta_est`	Subsequent parameters define required formulas to genrete necessary variables, such as standard deviations. If these are not manually provided (which could be useful to model heteroscedasticity, etc.), xreg will get them from the functions.
`omega_est`	Between-unit variance parameter, must be a fixed result for all observations, as only the first instance will be used. Defaults to exp(LN_OMEGA)
`sigma_est`	Within-unit variance parameter, may be specified as a function to vary between observations. Defaults to exp(LN_SIGMA)