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bda (version 19.1.3)
Binned Data Analysis
Description
Algorithms developed for binned data analysis, gene expression data analysis and measurement error models for ordinal data analysis.
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Version
Version
19.1.3
19.0.0
18.3.2
18.2.2
18.1.2
17.1.2
16.1.3
15.2.5
15.2.2
15.1.7
15.0.2
14.3.19
14.1.4
13.4.13
10.1.9
5.1.6
5.1.3
3.2.0-3
3.1.3-2
2.2.8-8
2.1.4-19
2.1.2-10
2.1.2-8
2.0.12-17
2.0.11-11
2.0.11-4
1.2.7-31
1.1.1-7
Install
install.packages('bda')
Monthly Downloads
638
Version
19.1.3
License
Unlimited
Maintainer
Bin Wang
Last Published
February 11th, 2026
Functions in bda (19.1.3)
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lps.variance
compute the variance of the local polynomial regression function
mediation.test
The Sobel mediation test
mlnorm
The mixed lognormal distribution
blinding.BI
Computing Blinding Index
mnorm
The mixed normal distribution
blinding.est
Estimating Effect Size using Blinding Survey Data
BreastCancer
Breast Cancer Data
FSD
Firm size data
ImportFSD
Import Firm Size and Firm Age Data
lpsmooth
non-parametric regression
fnm
Distribution of Two Finite Gaussian Mixtures
Zipf.Normalize
Zipf Normalization
Pain
Pain data
ZipfPlot
Draw Zipf Plot
ofc
occipitofrontal head circumference data
wkde
Compute a Binned Kernel Density Estimate for Weighted Data
fit.PRO
Fitting distributions to Patient-reported Outcome Data
bootPRO
Effectiveness Evaluation based on PROs with bootstrapping method
bootkde
Density estimation for data with rounding errors
fit.Pareto
Fit a Pareto Distribution to Binned Data
binning
Data Binning
VAS
Algorithms for Visual Analogue Scales
bda
Binned (Grouped) Data Analysis
EUFirmSize
Firm size data of 10 EU countries
pro.test
Test effectiveness based on PROs
fit.lognormal
Fitting log-normal distributions
fit.GBP
Fitting Mixture Model of Generalized Beta and Pareto
Pareto
The Pareto distribution
fit.FSD
Fitting firm size-age distributions