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bda (version 19.0.0)
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
19.0.0
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
19.0.0
License
Unlimited
Maintainer
Bin Wang
Last Published
August 27th, 2025
Functions in bda (19.0.0)
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Pain
Pain data
mediation.test
The Sobel mediation test
fit.PRO
Fitting distributions to Patient-reported Outcome Data
bootPRO
Effectiveness Evaluation based on PROs with bootstrapping method
mlnorm
The mixed lognormal distribution
fit.lognormal
Fitting log-normal distributions
FSD
Firm size data
ofc
occipitofrontal head circumference data
fit.FSD
Fitting firm size-age distributions
wkde
Compute a Binned Kernel Density Estimate for Weighted Data
fit.Pareto
Fit a Pareto Distribution to Binned Data
fnm
Distribution of Two Finite Gaussian Mixtures
Pareto
The Pareto distribution
lpsmooth
non-parametric regression
mnorm
The mixed normal distribution
BreastCancer
Breast Cancer Data
lps.variance
compute the variance of the local polynomial regression function
ZipfPlot
Draw Zipf Plot
EUFirmSize
Firm size data of 10 EU countries
pro.test
Test effectiveness based on PROs
bda
Binned (Grouped) Data Analysis
ImportFSD
Import Firm Size and Firm Age Data
bootkde
Density estimation for data with rounding errors
binning
Data Binning
Zipf.Normalize
Zipf Normalization
VAS
Algorithms for Visual Analogue Scales
blinding
Changing Point Estimation for Blinding Data
fit.GBP
Fitting Mixture Model of Generalized Beta and Pareto