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This function implements model-based multiplicative lognormal imputation of left-censored values (e.g. values below detection limit, rounded zeros) in compositional data sets.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: multLN
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This function implements a simulation-based Data Augmentation (DA) algorithm to impute left-censored values (e.g. values below detection limit, rounded zeros) via coordinates representation of compositional data sets which incorporate the information of the relative covariance structure. Multiple imputation estimates can be also obtained from the output.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: lrDA
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Following compositional data analysis principles, this package implements simple functions to explore and replace left-censored data, such as rounded zeros or values below single or multiple limits of detection (nondetects), and count zeros.
● Data Source:
CranContrib
● Keywords: compositional data
● Alias: zCompositions
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This function implements methods for imputing zeros in compositional count data sets based on a Bayesian-multiplicative replacement.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: cmultRepl
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This function shows the empirical cumulative distribution function (ECDF) for left-censored data as estimated by the Kaplan-Meier (KM) method and a cubic smoothing spline fitted to it (KMSS method, see multKM).
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: splineKM
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This function implements non-parametric multiplicative KMSS imputation of left-censored values (e.g. values below detection limit, rounded zeros) in compositional data sets. It is based on simulation from a smoothing spline fitted to the Kaplan-Meier (KM) estimate of the empirical cumulative distribution function (ECDF) of the data.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: multKM
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This function implements model-based ordinary and robust Expectation-Maximisation algorithms to impute left-censored values (e.g. values below detection limit, rounded zeros) via coordinates representation of compositional data sets which incorporate the information of the relative covariance structure.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: lrEM
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This function summarises the patterns of zero or unobserved values in a data set and returns a vector of pattern numbers.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: zPatterns
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multRepl
(Package: zCompositions) :
Multiplicative simple replacement
This function implements non-parametric multiplicative simple imputation of left-censored values (e.g. values below detection limit, rounded zeros) in compositional data sets.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: multRepl
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