DESCRIPTION

Package: ClusterBootMultinom
Title: Multinomial Logistic Regression Using Clustered Bootstrapping
Version: 0.0.0.9000
Authors@R: c(person("Jennifer", "Thompson", email = "jennifer.l.thompson@vanderbilt.edu",
  role = c("aut", "cre")),
  person("Rameela", "Chandrasekhar", email = "rameela.chandrasekhar@vanderbilt.edu",
  role = c("aut")))
Description: Created to handle multinomial logistic regression for correlated
    data using clustered bootstrapping. Functions to create bootstrapped data sets
    from an original data frame; fit multinomial regression models to those data
    sets using vglm(); and calculate and plot odds ratios, predicted probabilities,
    95% confidence limits, and Wald p-values from resulting model estimates.
Depends:
    R (>= 3.1.2)
License: GPL-3
LazyData: true
Imports:
    aod (>= 1.3),
    dplyr (>= 0.4.1),
    Hmisc (>= 3.15.0),
    ggplot2 (>= 1.0.1),
    tidyr (>= 0.2.0),
    VGAM (>= 0.9.7)
Suggests:
    rms
RoxygenNote: 5.0.1