mgammageo_fit: Fits the multivariate mixed gamma-geometric distributions...
In camponsah/BivMixDist: Fit bivariate continous and discrete distributions as well as provide EM algorithm for discrete Pareto
Description
Usage
Arguments
Details
Value
References
Examples
View source: R/mult_mixed_distribution.R
Description
This function computes the parameters of the model .
Usage
1
Arguments
data
is data.frame of observations, (X, N, Y, M)
Details
mgammageo_fit fits MMGG model to data.
Value
list of parameter estimates and the log-likelihood value
References
Amponsah, C. K. and Kozubowski, T.J., (2022). Inprint
Examples
1
2
3
Data.df<- rmgammageo(1000, alpha=c(1, 2), beta=c(1, 10), prob=c(0.6, 0.45), theta= -0.2)
fit <- mgammageo_fit(Data.df)
fit
camponsah/BivMixDist documentation built on Nov. 15, 2021, 3:11 a.m.
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Description Usage Arguments Details Value References Examples
View source: R/mult_mixed_distribution.R
Description
This function computes the parameters of the model .
Usage
1 |
Arguments
data |
is data.frame of observations, (X, N, Y, M) |
Details
mgammageo_fit fits MMGG model to data.
Value
list of parameter estimates and the log-likelihood value
References
Amponsah, C. K. and Kozubowski, T.J., (2022). Inprint
Examples
1 2 3 | Data.df<- rmgammageo(1000, alpha=c(1, 2), beta=c(1, 10), prob=c(0.6, 0.45), theta= -0.2)
fit <- mgammageo_fit(Data.df)
fit
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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