Description: A novel multivariate meta-analysis.

Title: Easy Computation of Marketing Metrics with Different Analysis
person("Nagi", "Teramo", , "teramonagi@gmail.com", role = c("aut")),
person("Takahiro", "Yoshinaga", , "t.yoshinaga0106@gmail.com", role = c("aut"))
Description: Provides a mechanism for easy computation of marketing metrics.
By default in this package, metrics for digital marketing (e.g. CTR (Click Through Rate), CVR (Conversion Rate), CPC (Cost Per Click) etc) are calculated but you can define your own metrics easily.
In addition to that, you can change an analysis axis to calculate these metrics.
Imports: magrittr, dplyr, purrr, stringr, rlang
Suggests: covr, devtools, testthat, knitr, rmarkdown

person("Takahiro", "Yoshinaga", , "t.yoshinaga0106@gmail.com", role = c("aut")),
person("Yanjin", "Li", , "yanjin0501@gmail.com", role = c("aut"))
Imports: magrittr, dplyr, purrr, stringr, rlang, ggplot2
Collate: 'data.R' 'disaggregate.R' 'mmetrics.R' 'metrics_definition.R'

Title: Mixed-Mode Latent Class Regression
Description: Mixed-mode latent class regression (also known as mixed-mode
mixture model regression or mixed-mode mixture regression models) which
can handle both longitudinal and one-time responses, although it is created

Packaged: Sat Apr 23 16:34:44 2005; buyske

Packaged: Sun Aug 28 22:38:08 2005; hornik

Packaged: Tue Apr 18 21:20:12 2006; hornik

Title: Multivariate Marginal Models with Response Specific Parameters
Description: fits multivariate marginal models with response specific
parameters for multivariate longitudinal data for both
Packaged: 2012-08-22 07:03:08 UTC; Administrator

Description: fits multivariate marginal models for multivariate
longitudinal data for both continuous and discrete responses
Packaged: 2012-09-26 09:05:46 UTC; Administrator

Title: an R package for analyzing multivariate longitudinal data with

Description: fits multivariate marginal models for multivariate longitudinal data for both continuous and discrete responses

Title: Multivariate marginal models with shared regression parameters
Description: Fits multivariate marginal models with shared regression
parameters for discrete and continuous responses
Packaged: 2012-04-22 08:20:17 UTC; Administrator