SGmisc: SGmisc

In sgutreuter/SGmisc: Miscellaneous R Convenience Functions

SGmisc

Description

A collection of small wrappers and convienience functions.

Author(s)

Steve Gutreuter: [e-mail]

See Also

The exported functions in the SGmisc package are:

link{BBS_mortality}

Estimate probability of mortality among key population members from bio-behavioral surveillance surveys

computeBetaMoments

Compute the mean oand variance of the Beta distribution

computeBetaParms

Compute the shape parameters of the Beta distribution

computeGammaMoments

Compute the mean oand variance of the Gamma distribution

computeGammaParms

Compute the shape, rate and scale parameters of the Gamma distribution

count_NA

Get a count of the numbers of NA, NaN and Inf for each column of a dataframe

empCDF

Compute the empirical cumulative distribution function for a discrete random vector

fp_table

Create one- and two-way tables of frequencies and percentages

icc2deff

Compute the conventional survey design effect from the intraclass correlation

ilogit

Compute the inverse of the logit transformation ("expit" function)

logit

Compute the logit transformation of a vector of elements in (0, 1)

mid_date

Find the midpoint date between two dates

Oz_incidencer

Compute HIV incidence rate using "Osmond's" method

rand_date

Compute a random uniformly distributed date between two dates

recode_if

Conditional recoding of elements of a vector

sampsize_DHS

Compute a sample-size requirement from for a Demographic and Health Survey

sampsize_multinomial

Compute the approximate worst-case sample-size for a vector of multinomially distributed proportions

smooth_extremum

Compute a smooth differentiable approximation to the minimum or maximum of a numeric vector

sgutreuter/SGmisc documentation built on Aug. 25, 2024, 7:21 p.m.