qq_plot_noncensored: Plot the quantile-quantile graph for non censored data.
In konkam/BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
qq_plot_noncensored R Documentation
Plot the quantile-quantile graph for non censored data.
Description
This function may be rather slow for many iterations/many data because it
relies on numerical inversion of the mixture Cumulative Distribution
Function.
Usage
qq_plot_noncensored(fit, thinning_to = 500)
Arguments
fit
The result of the fit, obtained through the function MixNRMI1 or
MixNRMI2, MixMRMI1cens or MixMRMI2cens
thinning_to
How many iterations to compute the mean posterior
quantiles
Value
quantile-quantile plot for non censored data.
Examples
### Not run
# set.seed(150520)
# data(acidity)
# out <- MixNRMI1(acidity, extras = TRUE, Nit = 100)
# BNPdensity:::qq_plot_noncensored(out)
konkam/BNPdensity documentation built on March 14, 2024, 7:15 a.m.
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| qq_plot_noncensored | R Documentation |
Plot the quantile-quantile graph for non censored data.
Description
This function may be rather slow for many iterations/many data because it relies on numerical inversion of the mixture Cumulative Distribution Function.
Usage
qq_plot_noncensored(fit, thinning_to = 500)
Arguments
fit |
The result of the fit, obtained through the function MixNRMI1 or MixNRMI2, MixMRMI1cens or MixMRMI2cens |
thinning_to |
How many iterations to compute the mean posterior quantiles |
Value
quantile-quantile plot for non censored data.
Examples
### Not run
# set.seed(150520)
# data(acidity)
# out <- MixNRMI1(acidity, extras = TRUE, Nit = 100)
# BNPdensity:::qq_plot_noncensored(out)
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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