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BayesDecon (version 0.1.4)

Density Deconvolution Using Bayesian Semiparametric Methods

Description

Estimates the density of a variable in a measurement error setup, potentially with an excess of zero values. For more details see Sarkar (2022) .

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Version

Install

install.packages('BayesDecon')

Version

0.1.4

License

GPL (>= 2)

Maintainer

Mainak Manna

Last Published

January 11th, 2026

Functions in BayesDecon (0.1.4)

dist_u

Error Distribution Evaluation
print.bdeconv_result

Printing summary of MCMC samples for bdeconv_result object
bspline_normcoef

Normalize B-Spline Parameters
subset_result

Subset Methods for bdeconv_result object
TruncNormal

The Truncated Normal Distribution
fr.dens

Maximization function for B-spline distribution parameter initialization in bdeconv()
bspline_cumbasis

Generate a B-spline Cumulative Basis Matrix
RTCNormal

The Restricted Two-Component Normal Distribution
varfun

Error Variance as a function of X
dist_x

Estimated cumulative distribution function for the true variable(s)
fr

Maximization function for variance function B-spline parameter initialization in bdeconv()
var_e_fn

Variance Scaling For Mixtures of Restricted Two-Component Normals
prop.sig.thetas.x.dens.fn

Generate a Proposal Variance Matrix for B-Spline Parameters for episodic density
prop.sig.thetas.fn

Generate a Proposal Variance Matrix for B-Spline Parameters
BayesDecon-package

Density Deconvolution Using Bayesian Semiparametric Methods
autoplot.bdeconv_result

Visualization of bdeconv_result object using ggplot2
bdeconv

Obtaining MCMC samples from deconvoluted density
B-Spline

The Quadratic B-Spline Distribution
bdeconvzi_result

Constructor for zi_res Objects
as.list.bdeconv_result

Density deconvolution using bayesian semiparametric methods
P2.mat

Generate a Penalty Matrix
bdeconvmv_result

Constructor for mv_res Objects
bdeconvnc_result

Constructor for nc_res Objects
P1.mat

Generate a Penalty Matrix
register_autoplot_s3_methods

Register autoplot methods to ggplot2
BayesDecon_data_simulated

Simulated dataset for BayesDecon
bspline_basis

Generate a B-spline Basis Matrix
register_s3_method

Register S3 Methods from External Packages
fr.prob.nonzero

Maximization function for B-spline zero-inflation probability function parameter initialization in bdeconv()
plot.bdeconv_result

Visualization of bdeconv_result object
mean.bdeconv_result

Computing mean of MCMC samples
dens_x

Estimated density function for the true variable(s)
dens_u

Error Density Evaluation