Package index
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E()
- Calculate means and standard deviations
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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 conditional on given data
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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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subset(<probability>)
- Subset variates of an object of class
probability
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tailPr()
- Calculate cumulative posterior probabilities
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vrtgrid()
- Create a grid of values for a variate
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Pr2()
- Calculate posterior probabilities
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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: Bayesian nonparametric population inference
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util_Pcheckpoints()
- Calculate joint frequencies for checkpoints in learn()
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util_lprob()
- Calculate collection of log-probabilities for different components and samples
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util_lprobs()
- Calculate collection of log-probabilities for different components and samples
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util_ltailprob()
- Calculate collection of log-probabilities for different components and samples
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vtransform()
- Transforms variates to different representations