Specify non-parametric estimation for independent repeated measures
Specify non-parametric estimation for independent repeated measures
lcMethodMixtoolsNPRM(
response,
time = getOption("latrend.time"),
id = getOption("latrend.id"),
nClusters = 2,
blockid = NULL,
bw = NULL,
h = NULL,
...
)response |
The name of the response variable. |
time |
The name of the time variable. |
id |
The name of the trajectory identifier variable. |
nClusters |
The number of clusters to estimate. |
blockid |
See mixtools::npEM. |
bw |
See mixtools::npEM. |
h |
See mixtools::npEM. |
... |
Arguments passed to mixtools::npEM. The following optional arguments are ignored: data, x, mu0, verb. |
Benaglia T, Chauveau D, Hunter DR, Young D (2009). “mixtools: An R Package for Analyzing Finite Mixture Models.” Journal of Statistical Software, 32, 1–29. https://www.jstatsoft.org/v32/i06/.
Other lcMethod implementations:
lcMethod-class,
lcMethodAkmedoids,
lcMethodCrimCV,
lcMethodCustom,
lcMethodDtwclust,
lcMethodFeature,
lcMethodFunFEM,
lcMethodGCKM,
lcMethodKML,
lcMethodLMKM,
lcMethodLcmmGBTM,
lcMethodLcmmGMM,
lcMethodLongclust,
lcMethodMclustLLPA,
lcMethodMixAK_GLMM,
lcMethodMixtoolsGMM,
lcMethodRandom,
lcMethodStratify
library(mixtools)
data(latrendData)
method <- lcMethodMixtoolsNPRM("Y", id = "Id", time = "Time", nClusters = 3)
model <- latrend(method, latrendData)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.