ikosmidis/brglm2: brglm2 v0.9.1

Published February 8, 2023 | Version v0.9.1

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brglm2 0.9.1 Other improvements, updates and additions

Added the enzymes and hepatitis data sets (from the pmlr) to support examples and tests.

brglm2 0.9.0 New functionality

The expo() method for brglmFit and glm objects estimates the exponential of parameters of generalized linear models with maximum likelihood or various mean and median bias reduction methods (see ?expo for details). The expo() method is particularly useful for computing (corrected) estimates of the multiplicative impact of a unit increase on a covariate on the mean of a Poisson log-linear model (family = poisson("log") in glm()) while adjusting for other covariates, the odds ratio associated with a unit increase on a covariate in a logistic regression model (family = binomial("logit") in glm()) while adjusting for other covariates, the relative risk associated with a unit increase on a covariate in a relative risk regression model (family = binomial("log") in glm()) while adjusting for other covariates, among others.

Bug fixes

Fixed a bug where the dispersion in the resulting object would not be transformed even if transformation != "identity" when type is ML or AS_median or AS_mixed.

Other improvements, updates and additions

Moved unit tests to tinytest.
Moved documentation to markdown markup through roxygen2.
New vignette titled "Estimating the exponential of regression parameters using brglm2", to demonstrate the expo() method.
Various documentation fixes.

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ikosmidis/brglm2-v0.9.1.zip md5:e6fe897667349dd18f875fcb3335ab14	215.7 kB	Preview Download