BayesT: Goodness of fit.
In BCClong: Bayesian Consensus Clustering for Multiple Longitudinal Features
View source: R/DiscrepancyMeasure.R
BayesT R Documentation
Goodness of fit.
Description
This function assess the model goodness of fit by calculate the
discrepancy measure T(bm(y), bm(Theta)) with following steps
(a) Generate T.obs based on the MCMC samples
(b) Generate T.rep based on the posterior distribution of the parameters
(c) Compare T.obs and T.rep, and calculate the P values.
Usage
BayesT(fit)
Arguments
fit
an objective output from BCC.multi() function
Value
Returns a dataframe with length equals to 2 that contains
observed and predict value
Examples
#import data
data(example)
fit.BCC <- example
BayesT(fit.BCC)
BCClong documentation built on June 24, 2024, 1:07 a.m.
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View source: R/DiscrepancyMeasure.R
| BayesT | R Documentation |
Goodness of fit.
Description
This function assess the model goodness of fit by calculate the discrepancy measure T(bm(y), bm(Theta)) with following steps (a) Generate T.obs based on the MCMC samples (b) Generate T.rep based on the posterior distribution of the parameters (c) Compare T.obs and T.rep, and calculate the P values.
Usage
BayesT(fit)
Arguments
fit |
an objective output from BCC.multi() function |
Value
Returns a dataframe with length equals to 2 that contains observed and predict value
Examples
#import data
data(example)
fit.BCC <- example
BayesT(fit.BCC)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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