Package index
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flexiplot()
- Plot numeric or character values
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hist(<probability>)
- Plot the variability of an object of class "probability" as a histogram
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write.csvi()
read.csvi()
- Write and read data in inferno
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learn()
- Monte Carlo computation of posterior probability distribution
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metadatatemplate()
- Metadata and helper function for metadata
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mutualinfo()
- Calculate mutual information between groups of joint variates
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plot(<probability>)
- Plot an object of class "probability"
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plotFsamples()
- Plot one-dimensional posterior probabilities
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plotquantiles()
- Plot pairs of quantiles
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Pr()
- Calculate posterior probabilities
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qPr()
- Calculate quantiles
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rPr()
- Generate datapoints
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subset(<probability>)
- Subset variates of an object of class
probability
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vrtgrid()
- Create a grid of values for a variate
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buildauxmetadata()
- Build preliminary metadata flie
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createQfunction()
- Calculate and save transformation function for ordinal variates
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fftNGS()
- Find optimal FFT size
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funAC()
- Compute autocovariance
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funESS3()
- Compute ESS
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funESSLD()
- Calculate MC effective sample size using LaplacesDemon's algorithm
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funMCEI()
- Calculate quantile width through batches
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funMCEQ()
- Calculate credibility quantiles on estimated quantile
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funMCSELD()
- Calculate MC standard error using LaplacesDemon's batch means
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inferno
inferno-package
- inferno: Inference in R with Bayesian nonparametrics
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learnbind()
- Bind 3D arrays by first dimension
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mcjoin()
- Concatenate mcsample objects
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mcsubset()
- Eliminate samples from a 'learnt' object
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rowcumsum()
- Cumulative sum along first dimension
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rowinvcumsum()
- Inverse cumulative sum along first dimension
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util_Pcheckpoints()
- Calculate joint frequencies for checkpoints in learn()
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util_combineYX()
- Calculate probabilities, quantiles, etc, for all Y and X combinations
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util_denorm()
- Utility function to avoid finite-precision accuracys
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util_joinPtraces()
- Join '____tempPtraces-' files
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util_learntvar2sd()
- Convert learnt with R/C/Dvar to learnt with R/C/Dsd
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util_lprobsargsyx()
- Prepare arguments for util_lprobsyx from data
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util_lprobsbase()
- Calculate collection of log-probabilities for different components and samples
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util_lprobsmi()
- Calculate pairs of log-probabilities for mutualinfo()
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util_prepPcheckpoints()
- Format datapoints for testing of MCMC progress
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util_qYXcont()
- Calculate quantiles for continuous Y by bisection
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util_qYXdiscr()
- Calculate quantiles for discrete Y by bisection
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vtransform()
- Transforms variates to different representations
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workerfun()
- Worker function called by learn()