Description Usage Arguments Value
Calculate likelihood for continuous response
1 2 3 4 |
theta |
numeric vector, the initial regression parameter values |
x |
numeric vector, the dose values |
y |
numeric vector, the response values |
dtype |
integer, determines the type of response |
fct1 |
numeric, value for parameter a |
fct2 |
numeric, value for parameter b |
fct3 |
numeric, value for parameter var |
model.ans |
integer, determines the model that will be fitted |
mn.log |
numeric vector, transformation of the response values, see f.execute() |
sd2.log |
numeric vector, transformation of the sd of the response values, see f.execute() |
nn |
numeric vector, the number of responses per dose level, for continuous summary data |
Vdetlim |
numeric vector, values of detection limit |
CES |
numeric, value for the CES |
twice |
boolean, if some parameter values are equal, see f.execute() |
ttt |
numeric, time variable |
fct4 |
numeric, value for parameter c |
fct5 |
numeric, value for parameter d |
cens.up |
numeric, value for right censoring |
lb |
numeric vector, determines the lower bound for theta; default value is -Inf |
ub |
numeric vector, determines the upper bound for theta; default value is Inf |
par.tmp |
numeric vector, regression parameter values, see f.pars() |
increase |
boolean, whether the response values are increasing or decreasing for increasing dose values |
x.mn |
numeric value, the mean of dose values, see f.execute() |
track |
logical, if TRUE (FALSE by default) print the name of the function which is currently being run |
numeric value, minus the sum of the scores (total likelihood)
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