Package: mable 4.1.1

Zhong Guan

mable: Maximum Approximate Bernstein/Beta Likelihood Estimation

Fit data from a continuous population with a smooth density on finite interval by an approximate Bernstein polynomial model which is a mixture of certain beta distributions and find maximum approximate Bernstein likelihood estimator of the unknown coefficients. Consequently, maximum likelihood estimates of the unknown density, distribution functions, and more can be obtained. If the support of the density is not the unit interval then transformation can be applied. This is an implementation of the methods proposed by the author of this package published in the Journal of Nonparametric Statistics: Guan (2016) <doi:10.1080/10485252.2016.1163349> and Guan (2017) <doi:10.1080/10485252.2017.1374384>. For data with covariates, under some semiparametric regression models such as Cox proportional hazards model and the accelerated failure time model, the baseline survival function can be estimated smoothly based on general interval censored data.

Authors:Zhong Guan [aut, cre]

mable_4.1.1.tar.gz
mable_4.1.1.tar.gz(r-4.7-arm64)mable_4.1.1.tar.gz(r-4.7-x86_64)mable_4.1.1.tar.gz(r-4.6-arm64)mable_4.1.1.tar.gz(r-4.6-x86_64)
mable_4.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mable/json (API)

# Install 'mable' in R:

install.packages('mable', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

chicken.embryo - Chicken Embryo Data
cosmesis - Breast cosmesis data
pancreas - Pancreatic Cancer Biomarker Data
Vaal.Flow - Vaal River Annual Flow Data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.28 score 19 scripts 367 downloads 56 exports 16 dependencies

Last updated from:de7f5a9191. Checks:4 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	WARNING	218
linux-devel-x86_64	WARNING	214
source / vignettes	OK	252
linux-release-arm64	WARNING	181
linux-release-x86_64	WARNING	237
wasm-release	OK	166

Exports:chpt.exp corr.hellinger d2dcop.asym dcopula dcopula.cond dmixbeta dmixmvbeta dtmixbeta hellcorr mable mable.aft mable.copula mable.ctrl mable.decon mable.dr mable.dr.group mable.group mable.hellcorr mable.ic mable.mvar mable.ph mable.po mable.reg made.copula made.density made.mvar madem.copula madem.density maple.aft maple.dr maple.dr.group maple.ph maple.po marginal.p mvecdf mvpbeta optim.gcp optimable p2dcop.asym pcopula pcopula.cond pmixbeta pmixmvbeta ptmixbeta qcopula.cond qmixbeta qtmixbeta r2dcop.asym rcopula rcopula.cond rmixbeta rmixmvbeta rtmixbeta se.coef.dr umc.mat weib.gpo

Dependencies:coda codetools doParallel foreach icenReg iterators lattice LowRankQP Matrix MLEcens mnormt quadprog Rcpp RcppEigen rlang survival

Maximum Approximate Bernstein/Beta Likelihood Estimation in R package 'mable'

Rendered frommable.Rmdusingknitr::knitr

Last update: 2024-09-28
Started: 2020-01-12

Help page	Topics
Chicken Embryo Data	chicken.embryo
Exponential change-point	chpt.exp
Some Bivariate Copulas	copula2d d2dcop.asym dcopula p2dcop.asym pcopula r2dcop.asym rcopula
Some Parametric Conditional Bivariate Copulas	copula2d.cond dcopula.cond pcopula.cond qcopula.cond rcopula.cond
Bhattacharyya coefficient and Hellinger correlation	corr.hellinger
Breast cosmesis data	cosmesis
Mixture Beta Distribution	dmixbeta pmixbeta qmixbeta rmixbeta
Multivariate Mixture Beta Distribution	dmixmvbeta pmixmvbeta rmixmvbeta
Exponentially Tilted Mixture Beta Distribution	dtmixbeta ptmixbeta qtmixbeta rtmixbeta
Maximum Approximate Bernstein Likelihood Estimate of Univariate or Multivariate Density Function	mable
Mable fit of Accelerated Failure Time Model	mable.aft
Maximum Approximate Bernstein Likelihood Estimate of Copula Density Function	mable.copula
Control parameters for mable fit	mable.ctrl
Mable deconvolution with a known error density	mable.decon
MABLE in Desnity Ratio Model	mable.dr
Mable fit of the density ratio model based on grouped data	mable.dr.group
Mable fit of one-sample grouped data by an optimal or a preselected model degree	mable.group
Estimate of Hellinger Correlation between two random variables and Bootstrap	hellcorr mable.hellcorr
Mable fit based on one-sample interval censored data	mable.ic
Maximum Approximate Bernstein Likelihood Estimate of Multivariate Density Function	mable.mvar
Mable fit of Cox's proportional hazards regression model	mable.ph
Mable fit of proportional odds rate regression model	mable.po
Mable fit of semiparametric regression model based on interval censored data	mable.reg
Minimum Approximate Distance Estimate of Copula Density	made.copula
Minimum Approximate Distance Estimate of Density Function with an optimal model degree	made.density
Minimum Approximate Distance Estimate of Multivariate Density Function	made.mvar
Minimum Approximate Distance Estimate of Copula with given model degrees	madem.copula
Minimum Approximate Distance Estimate of univariate Density Function with given model degree(s)	madem.density
Mable fit of AFT model with given regression coefficients	maple.aft
Maximum approximate profile likelihood estimate of the density ratio model	maple.dr
Maximum approximate profile likelihood estimate of the density ratio model for grouped data with given regression coefficients	maple.dr.group
Mable fit of the PH model with given regression coefficients	maple.ph
Mable fit of the PO model with given regression coefficients	maple.po
The mixing proportions of marginal distribution from the mixture of multivariate beta distribution	marginal.p
Multivariate empirical cumulative distribution evaluated at sample data	mvecdf
Component Beta cumulative distribution functions of the Bernstein polynomial model	mvpbeta
Choosing optimal model degree by gamma change-point method	optim.gcp
mable with degree selected by the method of moment and method of mode	optimable
Pancreatic Cancer Biomarker Data	pancreas
Plot mathod for class 'mable'	plot.mable
Plot mathod for class 'mable_reg'	plot.mable_reg
Standard errors of coefficients in density ratio model	se.coef.dr
Summary mathods for classes 'mable' and 'mable_reg'	summary.mable summary.mable_reg
Matrix of the uniform marginal constraints	umc.mat
Vaal River Annual Flow Data	Vaal.Flow
Generalized PO model with Weibull baseline	weib.gpo

Package: mable 4.1.1

mable: Maximum Approximate Bernstein/Beta Likelihood Estimation

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