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bda (version 1.1.1-7)

Algorithms for Birth Data Analysis

Description

This package collects functions developed for density estimation, regression and simultaneous confidence bands construction, EM based on data subject to measurement errors.

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Version

Install

install.packages('bda')

Monthly Downloads

1,010

Version

1.1.1-7

License

Unlimited

Maintainer

Bin Wang

Last Published

January 6th, 2012

Functions in bda (1.1.1-7)

qmixnorm

The mixed normal distribution

edf

To compute the empirical distribution function.

rsimpson

The simpson (claw) distribution.

gof

To perform goodness-of-fit test.

getbdata

Birth data anaylysis.

mle.weibull

Compute the MLEs of a weibull distribution.

bootkde

To compute a bootstrap kernel density estimate

smkde

Fit smoothed KDE to binned data.

pcb

To compute the pointwise confidence bands.

binhist

Draw histogram based on binned data

histospline

Fit smoothed KDE to binned data.

binning

Data binning.

mediation.test

The Sobel mediation test

pmixnorm

The mixed normal distribution

binem

An E-M algorithm to fit normal mixture based on binned data.

bfmm

To fit a finite mixture model to binned data.

mle.gamma

Compute the MLEs of a gamma distribution.

histo

Draw histogram based on data with rounding errors

dmixnorm

The mixed normal distribution

rmixnorm

The mixed normal distribution

birth

Birth data

ofc

occipitofrontal head circumference data

perm

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