Description Usage Arguments Value
computed expected value for categorical model
1 2 3 4 5 | f.expect.cat(model.type = 2, model.ans, x, regr.par = 0, th.par = 0,
sig.par = 0, fct1 = 1, fct2 = 1, CES = 0, CES.cat = 1, latent = F,
ttt = 0, twice, fct3 = 1, ces.ans, decr.zz = T, dtype, fct4 = 1,
fct5 = 1, fct1.txt = "", fct2.txt = "", fct3.txt = "",
fct4.txt = "", fct5.txt = "", covar.txt = "", fct3.ref, track = FALSE)
|
model.type |
model type |
model.ans |
type or response fitted |
x |
observations |
regr.par |
parameters |
th.par |
parameter theta |
sig.par |
parameter sigma (standard deviations)? |
fct1 |
numeric, value for first parameter |
fct2 |
numeric, value for second parameter |
CES |
CES value |
CES.cat |
CES cat |
latent |
latent model |
ttt |
ttt |
twice |
logical, if TRUE two parameters are dependent of the same covariate |
fct3 |
numeric, value for third parameter |
ces.ans |
type of benchmark response |
decr.zz |
is decreasing |
dtype |
response data type |
fct4 |
numeric, value for fourth parameter |
fct5 |
numeric, value for fifth parameter |
fct1.txt |
text for parameter 1 |
fct2.txt |
text for parameter 2 |
fct3.txt |
text for parameter 3 |
fct4.txt |
text for parameter 4 |
fct5.txt |
text for parameter 5 |
covar.txt |
text for covar |
fct3.ref |
parameter 3 of reference |
track |
logical, if TRUE (FALSE by default) print the name of the function which is currently being run |
expected value
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