| Alzheimer {BayesLCA} | R Documentation |
Symptoms of Patients Suffering from Alzheimer's Syndrome
Description
Presence or absence of 6 symptoms of Alzheimer's disease (AD) in 240 patients diagnosed with early onset AD conducted in the Mercer Institute in St. James's Hospital, Dublin.
Usage
data(Alzheimer)Format
A binary matrix, consisting of 240 rows and 6 columns, with each row denoting an individual and each column denoting the presence/absence of one of the 6 symptoms: Hallucination, Activity, Aggression, Agitation, Diurnal and Affective. A 1 denotes the presence of a symptom, a 0 the absence.
Source
Moran M, Walsh C, Lynch A, Coen RF, Coakley D, Lawlor BA (2004) “Syndromes of behavioural and psychological symptoms in mild Alzheimer's disease.” International Journal of Geriatric Psychiatry, 19(4), 359–364. ISSN 1099-1166. doi:10.1002/gps.1091. URL http://dx.doi.org/10.1002/gps.1091.
Walsh C (2006) “Latent Class Analysis Identification of Syndromes in Alzheimer's Disease: A Bayesian Approach.” metodoloyski zvezki - Advances in Methodology and Statistics, 3(1), pp.147 – 162. URL mrvar.fdv.uni-lj.si/pub/mz/mz3.1/walsh.pdf
Examples
data(Alzheimer)
fit2 <- blca.em(Alzheimer, 2)
summary(fit2)
fit3<- blca.em(Alzheimer, 3, restarts=20)
summary(fit3)