Description Usage Arguments Details Value Author(s) Source References Examples
Prints diagnostics or extract those diagnostics from a fitll object.
1 | lldiagnostics(object)
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object |
Object of "fitll". |
The function calls the check_* functions and the get_* functions are for access to the diagnostics. If the matrix X and W are missing, the coda package is used by test the convergence of the chains by Cramer-von-Mises statistic and an image of the correlation is show for both of generated chains.
lldiagnostics(object) prints diagnostics or extract those diagnostics from a fitll object.
Sara Alexandre Fons<c3><aa>ca saralexandre@alu.ufc.br, Rosineide Fernando da Paz rfpaz2@gmail.com, Jorge Lu<c3><ad>s Baz<c3><a1>n
The L-Losgistic distribution was introduced by Tadikamalla and Johnson (1982), which refer to this distribution as Logit-Logistic distribution. Here, we have a new parameterization of the Logit-Logistic with the median as a parameter.
Paz, R.F., Balakrishnan, N and Baz<c3><a1>n, J.L. (2018). L-Logistic Distribution: Properties, Inference and an Application to Study Poverty and Inequality in Brazil. The Stan Development Team Stan Modeling Language User's Guide and Reference Manual. http://mc-stan.org/. Plummer, M., Best, N., Cowles, K., and Vines, K. (2006). Coda: Convergence diagnosis and output analysis for mcmc. R News, 6(1):7-11.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | # Modelation the coeficient with generated data
library(llbayesireg)
library(llogistic)
# Number of elements to be generated
n=50
# Generated response
bin=2005
set.seed(bin)
y=rllogistic(n,0.5, 2)
fitll = llbayesireg(y, niter=100, jump=10)
lldiagnostics(fitll$object)
# Modelation the coeficient with real data
library(llbayesireg)
data("Votes","MHDI")
y = Votes[,4]
X = MHDI
fitll = llbayesireg(y,X)
lldiagnostics(fitll$object)
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