mental | R Documentation |
The date set is from a study of mental health for a random sample of 40 adult residents of Alachua County, Florida. Mental impairment is an ordinal response with 4 categories: well, mild symptom formation, moderate symptom formation, and impaired, which are recorded as 1, 2, 3, and 4. Life event index is a composite measure of the number and severity of important life events that occurred with the past three years, e.g., birth of a child, new job, divorce, or death of a family member. It is an integer from 0 to 9. Another covariate is socio-economic status and it is measured as binary: high = 1, low = 0.
data(mental)
mental
Mental impairment. It is an ordinal response with 4
categories recorded as 1
, 2
, 3
, and 4
.
ses
Socio-economic status measured as binary: high = 1
, low = 0
.
life
Life event index. It is an integer from 0
to 9
.
Agresti, A. (2010) Analysis of Ordinal Categorical Data, 2nd ed. Hoboken, NJ: Wiley.
Ord
# proportional odds model example
data(mental)
# model the relationship between the latent variable and life event index as increasing
# socio-economic status is included as a binary covariate
fit.incr <- cgam(mental ~ incr(life) + ses, data = mental, family = Ord)
# check the estimated probabilities P(mental = k), k = 1, 2, 3, 4
probs.incr <- fitted(fit.incr)
head(probs.incr)
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