EnvStats, MASS, mvtnorm, nleqslv, fGarch, parallel, abind,
foreach, doParallel, Renext, lmomco, methods, stats

Calculation of probabilities for inadequate and excessive
gestational weight gain
Based on calculations of 758 women this package calculates
positive predictive values (PPV) and negative predictive values
(NPV) for inadequate and excessive gestational weight gain
(GWG) for different prevalences for different BMI categories.

Count and Continuous Generalized Variability Indexes
c(person("Aboubacar Y.", "Touré", email = "aboubacaryacoubatoure.ussgb@gmail.com", role = "aut"),
person("Célestin C.", "Kokonendji", role = "aut"),
person("Aboubacar Y.", "Touré", email = "aboubacaryacoubatoure.ussgb@gmail.com", role = "cre"))
Univariate Poisson dispersion index (DI) for count data, univariate exponential variation index (VI) for positive continuous data functions are performed. Also, the generalized dispersion index (GDI) and the marginal dispersion index (MDI) functions are carried out. Finally, the generalized variation index (GVI) and the marginal variation index (MVI) functions are computed. See Abid et al. (2020), Fisher (1934), Kokonendji and Puig (2018), Kokonendji et al. (2020) and Touré et al. (2020) for more details on these indexes.
Aboubacar Y. Touré [aut],
Célestin C. Kokonendji [aut],
Aboubacar Y. Touré [cre]

Aboubacar Y. Touré and Célestin C. Kokonendji
Univariate Poisson dispersion index for count data, univariate exponential variation index for positive continuous data functions are performed. Also, the generalized dispersion index and the marginal dispersion index functions are carried out. Finally, the generalized variation index and the marginal variation index functions are computed.

Firstly, both functions of the univariate Poisson dispersion index (DI) for count data and the univariate exponential variation index (VI) for nonnegative continuous data are performed. Next, other functions of univariate indexes such the binomial dispersion index (DIb), the negative binomial dispersion index (DInb) and the inverse Gaussian variation index (VIiG) are given. Finally, we are computed some multivariate versions of these functions such that the generalized dispersion index (GDI) with its marginal one (MDI) and the generalized variation index (GVI) with its marginal one (MVI) too.