search for: initmodel

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2013 Mar 26
1
randomLCA_with error for me
...g wrong. Please help. > library(lattice) > library(boot) Attaching package: ‘boot’ The following object(s) are masked from ‘package:lattice’: melanoma > library(utils) > library(randomLCA) > #random parameter latent class model > trt.lca1random <- randomLCA(trt[,1:5],initmodel=0,nclass=1,random=TRUE,quadpoints=41,probit=TRUE) Error in randomLCA(trt[, 1:5], initmodel = 0, nclass = 1, random = TRUE, : patterns must consist of either 0 or 1 > trt.lca2random <- randomLCA(trt[,1:5],initmodel=0,nclass=2,random=TRUE,quadpoints=41,probit=TRUE) Error in randomLCA(trt[, 1...
2012 Aug 27
2
randomLCA
...at least 4 diagnostic tests for such a model? What happens if I specify options blocksize and byclass? How many diagnostic tests (or rater) I need? Extract from see "randomLCA examples", by Ken Beath. > dentistry.lca2random <- randomLCA(dentistry[, + 1:5], freq = dentistry$freq, initmodel = dentistry.lca2, + nclass = 2, random = TRUE, quadpoints = 31, + probit = TRUE) Thank you.
2012 May 11
0
NLS sensitivity to start= values or poles in data range
...# NIST Starting Values indsubset <- c(10,30,40,50,120,200,800) depsubset <- c(0,2,3,5,12,15,20) # ######################################### points(indsubset,depsubset, type="p", pch=19, col="red") # Generate starting values for nls per NIST process initmodel <- (depsubset ~ I(indsubset^1) + I(indsubset^2) + I(indsubset^3) + I(-1 * indsubset^1 * depsubset) + I(-1 * indsubset^2 * depsubset) + I(-1 * indsubset^3 * depsubset)) InputDatalm <- lm(initmodel) summary(InputDatalm) fitted.values(InputDatalm) nlsstar...