central.counts: Calculate central compositions
In pvermees/provenance: Statistical Toolbox for Sedimentary Provenance Analysis
central.counts R Documentation
Calculate central compositions
Description
Computes the logratio mean composition of a continuous mixture of
point-counting data.
Usage
## S3 method for class 'counts'
central(x, ...)
Arguments
x
an object of class counts
...
optional arguments
Details
The central composition assumes that the observed
point-counting distribution is the combination of two sources
of scatter: counting uncertainty and true geological
dispersion.
Value
an [5 x n] matrix with n being the number
of categories and the rows containing:
- theta
the ‘central’ composition.
- err
the standard error for the central composition.
- sigma
the overdispersion parameter, i.e. the coefficient of
variation of the underlying logistic normal
distribution. central computes a continuous
mixture model for each component (column)
separately. Covariance terms are not reported.
- LL
the lower limit of a ‘1 sigma’ region for theta.
- UL
the upper limit of a ‘1 sigma’ region for theta.
- mswd
the mean square of the weighted deviates, a.k.a.
reduced chi-square statistic.
- p.value
the p-value for age homogeneity
pvermees/provenance documentation built on Feb. 5, 2024, 4:50 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| central.counts | R Documentation |
Calculate central compositions
Description
Computes the logratio mean composition of a continuous mixture of point-counting data.
Usage
## S3 method for class 'counts'
central(x, ...)
Arguments
x |
an object of class |
... |
optional arguments |
Details
The central composition assumes that the observed point-counting distribution is the combination of two sources of scatter: counting uncertainty and true geological dispersion.
Value
an [5 x n] matrix with n being the number
of categories and the rows containing:
- theta
the ‘central’ composition.
- err
the standard error for the central composition.
- sigma
the overdispersion parameter, i.e. the coefficient of variation of the underlying logistic normal distribution.
centralcomputes a continuous mixture model for each component (column) separately. Covariance terms are not reported.- LL
the lower limit of a ‘1 sigma’ region for
theta.- UL
the upper limit of a ‘1 sigma’ region for
theta.- mswd
the mean square of the weighted deviates, a.k.a. reduced chi-square statistic.
- p.value
the p-value for age homogeneity
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.