brm: Binary Regression Model
Version 1.0

Fits novel models for the conditional relative risk, risk difference and odds ratio.

Browse man pages Browse package API and functions Browse package files

AuthorLinbo Wang, Thomas Richardson
Date of publication2016-09-17 07:10:51
MaintainerLinbo Wang <linbowang@g.harvard.edu>
LicenseMIT + file LICENSE
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("brm")

Man pages

brm: Fitting Binary Regression Models
brm-package: Fitting Binary Regression Models
getProbScalarRD: Calculate risks from arctanh RD and log OP
getProbScalarRR: Calculate risks from log RR and log OP
predict.brm: Fitted probabilities from 'brm' fits
print.brm: Ancillary function for printing

Functions

DREst Source code
Hessian2RD Source code
Hessian2RR Source code
MLEst Source code
ValidCheck Source code
WrapResults Source code
brm Man page Source code
brm-package Man page
dr.estimate.noiterate Source code
dr.estimate.onestep Source code
expit Source code
getPrbAux Source code
getProbScalarRD Man page Source code
getProbScalarRR Man page Source code
getatanhrd Source code
getlogop Source code
getlogrr Source code
logit Source code
max.likelihood Source code
predict.brm Man page Source code
print.brm Man page Source code
same Source code
var.mle.rd Source code
var.mle.rr Source code
var.rd.dr Source code
var.rr.dr Source code

Files

NAMESPACE
R
R/1.2_MLE_Var.R
R/getProbScalarRD.R
R/2.2_DR_Var_RD.R
R/ValidCheck.R
R/Print.R
R/2_CallDR.R
R/1_CallMLE.R
R/2.1_DR_Point.R
R/2.2.1_Hessian_RD.R
R/brm.R
R/2.2_DR_Var_RR.R
R/predict.brm.R
R/1.1_MLE_Point.R
R/2.2.1_Hessian_RR.R
R/getProbScalarRR.R
R/MyFunc.R
R/main.R
MD5
DESCRIPTION
man
man/print.brm.Rd
man/getProbScalarRD.Rd
man/brm.Rd
man/predict.brm.Rd
man/brm-package.Rd
man/getProbScalarRR.Rd
LICENSE
brm documentation built on May 20, 2017, 5:50 a.m.