R Graphical Manual

Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
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Classification

Results 1 - 10 of 14 found.
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plotAll (Package: BEST) :

Displays a series of plots showing the posterior probability distributions of the parameters of interest.

● Data Source: CranContrib
● Keywords:
● Alias: plotAll
● 0 images

plot.BEST (Package: BEST) :

Displays a plot showing the posterior probability distribution of one of the parameters of interest, the difference in means by default.

● Data Source: CranContrib
● Keywords:
● Alias: plot.BEST
● 0 images

summary.BEST (Package: BEST) :

Provides summary statistics for each of the parameters (mean and standard deviation) of the group(s) of observations and their differences.

● Data Source: CranContrib
● Keywords: methods
● Alias: summary.BEST
● 0 images

hdi (Package: BEST) :

Calculate the highest density interval (HDI) for a given probability mass, see Details. The function is generic, with methods for a range of input objects.

● Data Source: CranContrib
● Keywords: htest, methods
● Alias: hdi, hdi.data.frame, hdi.default, hdi.density, hdi.function, hdi.matrix, hdi.mcmc.list
● 1 images

pairs.BEST (Package: BEST) :

Function to produce a scatterplot matrix of a BEST object produced by BESTmcmc, with correlation coefficients in the lower triangle.

● Data Source: CranContrib
● Keywords:
● Alias: pairs.BEST
● 0 images

BESTpower (Package: BEST) :

Estimation of the probability of meeting the goals of a study given initial information or assumptions about the population parameters. For prospective power estimation, the sequence
makeData -> BESTmcmc -> BESTpower
is recommended: see makeData.

● Data Source: CranContrib
● Keywords:
● Alias: BESTpower
● 1 images

plotPost (Package: BEST) :

Plot the posterior probability distribution for a single parameter from a vector of samples, typically from an MCMC process, with appropriate summary statistics.

● Data Source: CranContrib
● Keywords: hplot
● Alias: plotPost
● 7 images

print.BEST (Package: BEST) :

Print method for objects of class BEST, such as produced by BESTmcmc.

● Data Source: CranContrib
● Keywords: print
● Alias: print.BEST
● 0 images

BESTmcmc (Package: BEST) :

This function is the core of the BEST package. It calls JAGS and passes a description of the model, priors, and data, then retrieves and returns the MCMC samples for the parameters.

● Data Source: CranContrib
● Keywords:
● Alias: BESTmcmc
● 0 images

makeData (Package: BEST) :

The function allows the analyst to prepare an idealized data set which exactly matches selected point values, and incorporates uncertainty in these values in terms of sample size.

● Data Source: CranContrib
● Keywords:
● Alias: makeData
● 0 images