RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (1.6-9) of this package.
Take me there.
LogConcDEAD (version 1.5-5)
Log-concave Density Estimation in Arbitrary Dimensions
Description
Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions.
Copy Link
Copy
Link to current version
Version
Version
1.6-9
1.6-8
1.6-7
1.6-6
1.6-5
1.6-4
1.6-3
1.6-1
1.5-9
1.5-8
1.5-7
1.5-6
1.5-5
1.5-4
1.5-3
1.5-2
1.5-1
1.5-0
1.4-3
1.4-2
1.4-1
1.4-0
1.3-3
1.3-2
1.3-1
1.3-0
1.2-0
1.1-2
1.1-1
1.0-11
1.0-10
1.0-8
1.0-6
1.0-5
1.0-3
1.0-1
Down Chevron
Install
install.packages('LogConcDEAD')
Monthly Downloads
587
Version
1.5-5
License
LGPL
Maintainer
Yining Chen
Last Published
June 12th, 2012
Functions in LogConcDEAD (1.5-5)
Search functions
getinfolcd
Construct an object of class LogConcDEAD
interpmarglcd
Finds marginals of multivariate logconcave maximum likelihood estimators by integrating
dmarglcd
Evaluate the marginal of multivariate log-concave maximum likelihood estimators at a point
hatA
Compute the smoothing matrix of the smoothed log-concave maximum likelihood estimator
getweights
Find appropriate weights for likelihood calculations
print.LogConcDEAD
Summarizing log-concave maximum likelihood estimator
EMmixlcd
Estimate the mixture proportions and component densities using EM algorithm
dlcd
Evaluation of a log-concave maximum likelihood estimator at a point
cov.LogConcDEAD
Compute the covariance matrix of a log-concave maximum likelihood estimator
LogConcDEAD-package
Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions
rlcd
Sample from a log-concave maximum likelihood estimate
plot.LogConcDEAD
Plot a log-concave maximum likelihood estimator
interplcd
Evaluate the log-concave maximum likelihood estimator of 2-d data on a grid for plotting
interactive2D
A GUI for classification in two dimensions using smoothed log-concave
LogConcDEAD-internal
Internal log-concave maximum likelihood estimation functions
dslcd
Evaluation of a smoothed log-concave maximum likelihood estimator at given points
mlelcd
Compute the maximum likelihood estimator of a log-concave density
rslcd
Sample from a smoothed log-concave maximum likelihood estimate