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Main functions

flexiplot()
Plot numeric or character values
hist(<probability>)
Plot the variability of an object of class "probability" as a histogram
write.csvi() read.csvi()
Write and read data in inferno
learn()
Monte Carlo computation of posterior probability distribution
metadatatemplate()
Metadata and helper function for metadata
mutualinfo()
Calculate mutual information between groups of joint variates
plot(<probability>)
Plot an object of class "probability"
plotFsamples()
Plot one-dimensional posterior probabilities
plotquantiles()
Plot pairs of quantiles
Pr()
Calculate posterior probabilities
qPr()
Calculate quantiles
rPr()
Generate datapoints
subset(<probability>)
Subset variates of an object of class probability
vrtgrid()
Create a grid of values for a variate

Internal functions

For developers.

buildauxmetadata()
Build preliminary metadata flie
createQfunction()
Calculate and save transformation function for ordinal variates
fftNGS()
Find optimal FFT size
funAC()
Compute autocovariance
funESS3()
Compute ESS
funESSLD()
Calculate MC effective sample size using LaplacesDemon's algorithm
funMCEI()
Calculate quantile width through batches
funMCEQ()
Calculate credibility quantiles on estimated quantile
funMCSELD()
Calculate MC standard error using LaplacesDemon's batch means
inferno inferno-package
inferno: Inference in R with Bayesian nonparametrics
learnbind()
Bind 3D arrays by first dimension
mcjoin()
Concatenate mcsample objects
mcsubset()
Eliminate samples from a 'learnt' object
rowcumsum()
Cumulative sum along first dimension
rowinvcumsum()
Inverse cumulative sum along first dimension
util_Pcheckpoints()
Calculate joint frequencies for checkpoints in learn()
util_combineYX()
Calculate probabilities, quantiles, etc, for all Y and X combinations
util_denorm()
Utility function to avoid finite-precision accuracys
util_joinPtraces()
Join '____tempPtraces-' files
util_learntvar2sd()
Convert learnt with R/C/Dvar to learnt with R/C/Dsd
util_lprobsargsyx()
Prepare arguments for util_lprobsyx from data
util_lprobsbase()
Calculate collection of log-probabilities for different components and samples
util_lprobsmi()
Calculate pairs of log-probabilities for mutualinfo()
util_prepPcheckpoints()
Format datapoints for testing of MCMC progress
util_qYXcont()
Calculate quantiles for continuous Y by bisection
util_qYXdiscr()
Calculate quantiles for discrete Y by bisection
vtransform()
Transforms variates to different representations
workerfun()
Worker function called by learn()