Description: Provides methods and classes for adding m-activation ("multiplicative activation") layers to MLR or multivariate logistic regression models.  M-activation layers created in this library detect and add input interaction (polynomial) effects into a predictive model.  M-activation can detect high-order interactions -- a traditionally non-trivial challenge.  Details concerning application, methodology, and relevant survey literature can be found in this library's vignette, "About."

Title: Mediation Analysis for Count and Zero-Inflated Count Data
Author: Nancy Cheng, Zijian Guo, Jing Cheng
Depends: R (>= 4.0), MASS, pscl, graphics
Imports: sandwich, survival, stats, mediation, emplik, BB, mathjaxr
Description: Performs causal mediation analysis for count and zero-inflated
count data without or with a post-treatment confounder; calculates power
to detect prespecified causal mediation effects, direct effects, and
total effects; performs sensitivity analysis when there is a treatment-
induced mediator-outcome confounder as described by Cheng, J., Cheng, N.F.,
Guo, Z., Gregorich, S., Ismail, A.I., Gansky, S.A. (2018)
<doi:10.1177/0962280216686131>. Implements Instrumental Variable (IV)
method to estimate the controlled (natural) direct and mediation effects,
and compute the bootstrap Confidence Intervals as described by Guo, Z.,

software was made possible by Grant R03DE028410 from the The National
Institute of Dental and Craniofacial Research, a component of the National

Title: Meta-Analysis of Diagnostic Accuracy (mada)
Description: This package provides functions for diagnostic
meta-analysis. Next to basic analysis and visualization the
bivariate Model of Reitsma et al. (2005) that is equivalent to
the HSROC of Rutter&Gatsonis (2001) can be fitted. A new
approach based to diagnostic meta-analysis of Boehning et al.
is also available. Standard methods like summary, plot and so

Depends: stats, mvtnorm, ellipse, mvmeta

Title: Meta-Analysis of Diagnostic Accuracy
Description: Provides functions for diagnostic meta-analysis. Next to basic analysis and visualization the bivariate Model of Reitsma et al. (2005) that is equivalent to the HSROC of Rutter & Gatsonis (2001) can be fitted. A new approach based to diagnostic meta-analysis of Holling et al. (2012) is also available. Standard methods like summary, plot and so on are provided.