R: Finite Mixture Distribution Models

# Finite Mixture Distribution Models

## Documentation for package ‘mixdist’ version 0.5-5

- DESCRIPTION file

## Help Pages

anova.mix | ANOVA Tables for Mixture Model Objects
as.mixdata | Mixed Data
bindat | Grouped Binomial Data
binpar | Starting Values of Parameters for the Binomial Data Set
cassie | Cassie's Length-Frequency Example
coef.mix | Extract Mixture Model Coefficients
conditdat | Add Conditional Data to Grouped Data
expdat | A Mixture Data of Three Exponential Distributions
fiftn80 | A Mixed Data with Fifteen Normal Components
fitted.mix | Compute Mixture Model Fitted Values
groupstats | Estimate Parameters of One-Component Mixture Distribution
is.mixdata | Mixed Data
mix | Estimate Parameters of Mixture Distributions
mixconstr | Construct Constraints on Parameters
mixgroup | Construct Grouped Data from Raw Data
mixparam | Construct Starting Values for Parameters
normals | Scale Mixture Data with Three Normal Components
pearson | Karl Pearson's Crab Data
pearsonpar | Starting Values of Parameters for the Pearson's Data
pikdat5 | Heming Lake Pike Data
pike65 | Length-Frequency Data for Heming Lake Pike
pike65sg | Length-Frequency Data with Subsamples for Heming Lake Pike
pikepar | Starting Values of Parameters for the Pike Data
pikeraw | A Sample of Pike Lengths
plot.mix | Mix Object Plotting
plot.mixdata | Mixdata Object Plotting
poisdat | Grouped Poisson Data
poispar | Starting Values of Parameters for the Poisson Data Set
print.mix | Print Mix Object
summary.mix | Summarizing Mixture Model Fits
testconstr | Check Constraints
weibullpar | Compute Shape and Scale Parameters for Weibull Distribution
weibullparinv | Compute the Mean and Standard Deviation of Weibull Distribution