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bda (version 3.2.0-3)

Density Estimation for Binned/Weighted Data

Description

This package collects algorithms/functions developed for density estimation based on weighted or grouped (pre-binned) data.

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Version

Install

install.packages('bda')

Monthly Downloads

1,010

Version

3.2.0-3

License

Unlimited

Maintainer

Bin Wang

Last Published

May 7th, 2014

Functions in bda (3.2.0-3)

bfmm

To fit a finite mixture model to binned data.
bda

Binned Data Analysis
pcb

To compute the pointwise confidence bands.
Survival

Functions for survival data analysis
robot

Robot surgery.
edf

To compute the empirical distribution function.
bde

Density Estimation for Binned Data
mixnorm

The mixed normal distribution
roc

Receiver operating characteristic (ROC)
hhi

Mobile 2010 Household income
lprde

Density Estimation for Weighted Data via Non-parametric Regression
weighting

To weight the data
zr

occipitofrontal head circumference data
bnmm

Fit a Normal Mixture Model to binned data
mle

Compute maximum likelihood estimates
npr

non-parametric regression
wkde

Compute a Binned Kernel Density Estimate for Weighted Data
cusum

Cumulative Sum Control Chart.
mediation.test

The Sobel mediation test
biasing

Biasing Functions
perm.test

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

To perform goodness-of-fit test.
binning

Data Binning