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bda (version 2.2.8-8)
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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19.1.3
19.0.0
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18.2.2
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2.2.8-8
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2.0.11-11
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1.2.7-31
1.1.1-7
Install
install.packages('bda')
Monthly Downloads
947
Version
2.2.8-8
License
Unlimited
Maintainer
Bin Wang
Last Published
August 8th, 2013
Functions in bda (2.2.8-8)
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weighting
To weight the data
wkde
Compute a Binned Kernel Density Estimate for Weighted Data
bde
Density Estimation for Binned Data
biasing
Biasing Functions
pcb
To compute the pointwise confidence bands.
histosmooth
Smooth A Histogram
lprde
Density Estimation for Weighted Data via Non-parametric Regression
mixnorm
The mixed normal distribution
histogram
Histogram
bootkde
To compute a bootstrap kernel density estimate
npr
non-parametric regression
zr
occipitofrontal head circumference data
perm.test
To perform a permutation test to compare two samples/populations.
histospline
Fit smoothed KDE to binned data.
smkde
Fit smoothed KDE to binned data.
bda
Binned Data Analysis
mle
Compute maximum likelihood estimates
gof.test
To perform goodness-of-fit test.
Survival
Functions for survival data analysis
edf
To compute the empirical distribution function.
bfmm
To fit a finite mixture model to binned data.
mediation.test
The Sobel mediation test