prLogistic: Estimation of Prevalence Ratios using Logistic Models

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Estimation of prevalence ratios using logistic models and confidence intervals with delta and bootstrap methods.

Author
Raydonal Ospina <raydonal@de.ufpe.br> and Leila D. Amorim <leiladen@ufba.br>.
Date of publication
2013-09-19 18:47:33
Maintainer
Raydonal Ospina <raydonal@de.ufpe.br>
License
GPL (>= 2)
Version
1.2

View on CRAN

Man pages

downer
Downer Data
LBW
Low Birth Weight Data
notdocumentedyet
Undocumented and Internally Used Functions
prLogisticBootCond
Estimation of Prevalence Ratios using Logistic Models and...
prLogisticBootMarg
Estimation of Prevalence Ratios using Logistic Models and...
prLogisticDelta
Estimation of Prevalence Ratios using Logistic Models and...
Thailand
Thailand Data
titanic
Titanic Data
Toenail
Toenail Data
UIS
UIS - The UMARU IMPACT Study - Data

Files in this package

prLogistic
prLogistic/NAMESPACE
prLogistic/data
prLogistic/data/LBW.txt.gz
prLogistic/data/titanic.txt.gz
prLogistic/data/Toenail.txt.gz
prLogistic/data/downer.txt.gz
prLogistic/data/Thailand.txt.gz
prLogistic/data/UIS.txt.gz
prLogistic/R
prLogistic/R/prcorrlog.R
prLogistic/MD5
prLogistic/DESCRIPTION
prLogistic/ChangeLog
prLogistic/man
prLogistic/man/prLogisticBootMarg.Rd
prLogistic/man/Thailand.Rd
prLogistic/man/prLogisticDelta.Rd
prLogistic/man/downer.Rd
prLogistic/man/Toenail.Rd
prLogistic/man/UIS.Rd
prLogistic/man/LBW.Rd
prLogistic/man/notdocumentedyet.Rd
prLogistic/man/prLogisticBootCond.Rd
prLogistic/man/titanic.Rd