qqexp
(Package: SMPracticals) :
Exponential Quantile-Quantile Plots
Exponential probability plot of data.
● Data Source:
CranContrib
● Keywords: hplot
● Alias: qqexp
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2 images
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poi.gibbs
(Package: SMPracticals) :
Gibbs Sampler for Hierarchical Poisson Model, Practical 11.5
This function implements Gibbs sampling for the hierarchical Poisson model described in Example 11.19 and Practical 11.5 of Davison (2003), which should be consulted for more details.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: poi.gibbs
●
1 images
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poi.beta.laplace
(Package: SMPracticals) :
Laplace Approximation for Posterior Density, Practical 11.2
This function computes the Laplace approximation to the posterior density of the parameter beta in a Poisson regression model. For more details see Practical 11.2 of Davison (2003).
● Data Source:
CranContrib
● Keywords: distribution
● Alias: poi.beta.laplace
●
2 images
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plot.glm.diag
(Package: SMPracticals) :
Diagnostic plots for generalized linear models
Makes plot of jackknife deviance residuals against linear predictor, normal scores plots of standardized deviance residuals, plot of approximate Cook statistics against leverage/(1-leverage), and case plot of Cook statistic.
● Data Source:
CranContrib
● Keywords: misc
● Alias: plot.glm.diag
●
1 images
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Plots a scatterplot matrix in which panels below the diagonal show ordinary scatterplots of pairs of variables, and those above the diagonal show scatterplots of residuals after regression on all the other variables.
● Data Source:
CranContrib
● Keywords: hplot
● Alias: pairs.mod
●
2 images
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lik.ci
(Package: SMPracticals) :
Likelihood Confidence Intervals for Scalar Parameter
A simple function for computing confidence intervals from the values of a likelihood function for a scalar parameter. It prints the maximum likelihood estimate (MLE) and its standard error, and confidence intervals based on normal approximation to the distribution of the MLE and on the chi-squared approximation to the distribution of the likelihood ratio statistic.
● Data Source:
CranContrib
● Keywords: misc
● Alias: lik.ci
●
1 images
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Inverse Hessian matrix, useful for obtaining standard errors
● Data Source:
CranContrib
● Keywords: misc
● Alias: ihess
●
0 images
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hus.gibbs
(Package: SMPracticals) :
Gibbs Sampler for Poisson Changepoint Model, Practical 11.6
This function implements a Gibbs sampler for the Poisson changepoint model applied to the HUS data used in Example 4.40 and Practical 11.6 of Davison (2003), which should be consulted for details.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: hus.gibbs
●
3 images
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glm.diag
(Package: SMPracticals) :
Generalized Linear Model Diagnostics
Calculates jackknife deviance residuals, standardized deviance residuals, standardized Pearson residuals, approximate Cook statistic, leverage and estimated dispersion.
● Data Source:
CranContrib
● Keywords: misc
● Alias: glm.diag
●
0 images
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Estimate prior value of a parameter from the data.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: get.alpha
●
0 images
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providing 
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