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bda (version 18.3.2)
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
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
1,416
Version
18.3.2
License
Unlimited
Maintainer
Bin Wang
Last Published
August 26th, 2024
Functions in bda (18.3.2)
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Pain
Pain data
mnorm
The mixed normal distribution
mediation.test
The Sobel mediation test
lpsmooth
non-parametric regression
fnm
Distribution of Two Finite Gaussian Mixtures
wkde
Compute a Binned Kernel Density Estimate for Weighted Data
FSD
Firm size data
mlnorm
The mixed lognormal distribution
lps.variance
compute the variance of the local polynomial regression function
EUFirmSize
Firm size data of 10 EU countries
Zipf.Normalize
Zipf Normalization
fit.lognormal
Fitting log-normal distributions
BreastCancer
Breast Cancer Data
bootPRO
Effectiveness Evaluation based on PROs with bootstrapping method
ImportFSD
Import Firm Size and Firm Age Data
fit.FSD
Fitting firm size-age distributions
fit.PRO
Fitting distributions to Patient-reported Outcome Data
bootkde
Density estimation for data with rounding errors
pro.test
Test effectiveness based on PROs
ofc
occipitofrontal head circumference data
bda
Binned (Grouped) Data Analysis
Pareto
The Pareto distribution
VAS
Algorithms for Visual Analogue Scales
ZipfPlot
Draw Zipf Plot
fit.GBP
Fitting Mixture Model of Generalized Beta and Pareto
fit.Pareto
Fit a Pareto Distribution to Binned Data
binning
Data Binning