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bda (version 3.1.3-2)

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

Install

install.packages('bda')

Monthly Downloads

1,010

Version

3.1.3-2

License

Unlimited

Maintainer

Bin Wang

Last Published

March 6th, 2014

Functions in bda (3.1.3-2)

bootkde

To compute a bootstrap kernel density estimate
mle

Compute maximum likelihood estimates
bda

Binned Data Analysis
zr

occipitofrontal head circumference data
Survival

Functions for survival data analysis
mixnorm

The mixed normal distribution
histosmooth

Smooth A Histogram
bfmm

To fit a finite mixture model to binned data.
cusum

Cumulative Sum Control Chart.
npr

non-parametric regression
gof.test

To perform goodness-of-fit test.
edf

To compute the empirical distribution function.
roc

Receiver operating characteristic (ROC)
pcb

To compute the pointwise confidence bands.
robot

Robot surgery.
bde

Density Estimation for Binned Data
mediation.test

The Sobel mediation test
biasing

Biasing Functions
lprde

Density Estimation for Weighted Data via Non-parametric Regression
histospline

Fit smoothed KDE to binned data.
histogram

Histogram
wkde

Compute a Binned Kernel Density Estimate for Weighted Data
weighting

To weight the data
perm.test

To perform a permutation test to compare two samples/populations.
smkde

Fit smoothed KDE to binned data.