conda-forge / packages / r-actuar

• 0

Functions and data sets for actuarial science: modeling of loss distributions; risk theory and ruin theory; simulation of compound models, discrete mixtures and compound hierarchical models; credibility theory. Support for many additional probability distributions to model insurance loss size and frequency: 23 continuous heavy tailed distributions; the Poisson-inverse Gaussian discrete distribution; zero-truncated and zero-modified extensions of the standard discrete distributions. Support for phase-type distributions commonly used to compute ruin probabilities.

copied from cf-staging / r-actuar

• Conda
• Files
• Labels
• Badges

Filters

Type: All

• All
• conda

Version: All

• All
• 3.3_4
• 3.3_3
• 3.3_2
• 3.3_1
• 3.3_0
• 3.2_2
• 3.2_1
• 3.2_0
• 3.1_4
• 3.1_2
• 3.1_1
• 3.1_0
• 3.0_0

Label: main

• All
• Files with no label
• main