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bda (version 14.3.19)
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
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
925
Version
14.3.19
License
Unlimited
Maintainer
Bin Wang
Last Published
March 30th, 2020
Functions in bda (14.3.19)
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mnorm
The mixed normal distribution
fit.Pareto
Fit a Pareto Distribution to Binned Data
ofc
occipitofrontal head circumference data
fit.FSD
Fitting firm size-age distributions
mlorm
The mixed lognormal distribution
mediation.test
The Sobel mediation test
lps.variance
compute the variance of the local polynomial regression function
lpsmooth
non-parametric regression
fit.GBP
Fitting Mixture Model of Generalized Beta and Pareto
ZipfPlot
Draw Zipf Plot
fit.lnorm
Fitting log-normal distributions
binning
Data Binning
EUFirmSize
Firm size data of 10 EU countries
FSD
Firm size data
VAS
Algorithms for Visual Analogue Scales
Pareto
The Pareto distribution
Zipf.Normalize
Zipf Normalization
ImportFSD
Import Firm Size and Firm Age Data
bootkde
Density estimation for data with rounding errors
BreastCancer
Breast Cancer Data