Probability Distributions and Parameter Estimation
Turn an array to a data.frame
Bern Distribution
Beta Distribution
Binom Distribution
Distributional Calculus
Cat Distribution
Cauchy Distribution
Check the Data
Check Optim Arguments
Chi-Square Distribution
Dirichlet Distribution
Distribution Handling Helpers
Distribution S4 Classes
Parameter Estimation
Exponential Distribution
Forward Difference
Fisher Distribution
Distribution Functionals
Gamma Distribution
Geometric Distribution
Inverse Digamma Function
2x2 Inverse Matrix
Is it?
joker: Probability Distributions and Parameter Estimation
Laplace Distribution
Large Sample Metrics
Log-Normal Distribution
Log-Likelihood Function
Matrix Wrappers
Moments - Parametric Quantities of Interest
Multivariate Gamma Distribution
Multinomial Distribution
Negative Binomial Distribution
Normal Distribution
Plot Metrics
Poisson Distribution
Progress Bar
Sequence Functions for Matrices
Indexing Functions
Small Sample Metrics
Statistical Functions
Student Distribution
Estimation and Variance Tests
Uniform Distribution
Estimator Variance
Weibull Distribution
Implements an S4 distribution system and estimation methods for parameters of common distribution families. The common d, p, q, r function family for each distribution is enriched with the ll, e, and v counterparts, computing the log-likelihood, performing estimation, and calculating the asymptotic variance - covariance matrix, respectively. Parameter estimation is performed analytically whenever possible.