alzheimer: Real categorical data: alzheimer

In CoModes: This package performs clustering for categorical dataset by using a conditional modes mixture model

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. 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

References

Moran M, Walsh C, Lynch A, Coen RF, Coakley D and Lawlor B (2004). Syndromes of behavioural and psychological symptoms in mild Alzheimer's disease. International Journal of Geriatric Psychiatry, 19(4), 359-364.

White A and Muprhy T (2014). BayesLCA: An R Pacakge for Bayesian Latent Class Analysis. Journal of Statistical Software, 61(13),1-28

Examples

  data(alzheimer)

CoModes documentation built on May 2, 2019, 5:49 p.m.