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bda (version 2.0.11-4)
Density Estimation for Binned/Weighted Data
Description
This package collects algorithms/functions developed for density estimation based on weighted or pre-binned data.
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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
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13.4.13
10.1.9
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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
1,010
Version
2.0.11-4
License
Unlimited
Maintainer
Bin Wang
Last Published
November 4th, 2012
Functions in bda (2.0.11-4)
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pcb
To compute the pointwise confidence bands.
edf
To compute the empirical distribution function.
bootkde
To compute a bootstrap kernel density estimate
histogram
Draw histogram based on data with rounding errors
histospline
Fit smoothed KDE to binned data.
zr
occipitofrontal head circumference data
mixnorm
The mixed normal distribution
lprde
Density Estimation for Weighted Data via Non-parametric Regression
perm.test
To perform a permutation test to compare two samples/populations.
wkde
Compute a Binned Kernel Density Estimate for Weighted Data
smkde
Fit smoothed KDE to binned data.
gof
To perform goodness-of-fit test.
biased
Biasing Functions
mediation.test
The Sobel mediation test
bfmm
To fit a finite mixture model to binned data.