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Main functions

E()
Calculate means and standard deviations
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 conditional on given data
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
subset(<probability>)
Subset variates of an object of class probability
tailPr()
Calculate cumulative posterior probabilities
vrtgrid()
Create a grid of values for a variate
Pr2()
Calculate posterior probabilities

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: Bayesian nonparametric population inference
util_Pcheckpoints()
Calculate joint frequencies for checkpoints in learn()
util_lprob()
Calculate collection of log-probabilities for different components and samples
util_lprobs()
Calculate collection of log-probabilities for different components and samples
util_ltailprob()
Calculate collection of log-probabilities for different components and samples
vtransform()
Transforms variates to different representations