profile.hopit | R Documentation |
hopit
modelCalculate the log likelihood profile for the fitted hopit
model
## S3 method for class 'hopit' profile(fitted, ..., scope = 0.15, steps = 101)
fitted |
a |
... |
unused now. |
scope |
a value (fraction) defining the plotting range for a coefficient.
The range is |
steps |
at how many equally spaced points the log likelihood function is calculated for each coefficient. |
Maciej J. Danko
plot.profile.hopit
, print.profile.hopit
,
hopit
# DATA data(healthsurvey) # the order of response levels decreases from the best health to # the worst health; hence the hopit() parameter decreasing.levels # is set to TRUE levels(healthsurvey$health) # Example 1 --------------------- # fitting the model: model1 <- hopit(latent.formula = health ~ hypertension + high_cholesterol + heart_attack_or_stroke + poor_mobility + very_poor_grip + depression + respiratory_problems + IADL_problems + obese + diabetes + other_diseases, thresh.formula = ~ sex + ageclass + country, decreasing.levels = TRUE, control = list(trace = FALSE), data = healthsurvey) # check the fit using the profile function (at 51 points) pr <- profile(model1, steps = 51) print(pr, plotf = FALSE) # plot profile plot(pr, relative = FALSE) # alternative plot plot(pr, relative = TRUE)
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