Showing 5 of total 5 results (show query)
hojsgaard
gRim:Graphical Interaction Models
Provides the following types of models: Models for contingency tables (i.e. log-linear models) Graphical Gaussian models for multivariate normal data (i.e. covariance selection models) Mixed interaction models. Documentation about 'gRim' is provided by vignettes included in this package and the book by Højsgaard, Edwards and Lauritzen (2012, <doi:10.1007/978-1-4614-2299-0>); see 'citation("gRim")' for details.
Maintained by Søren Højsgaard. Last updated 6 months ago.
2 stars 5.77 score 74 scripts
mharinga
spatialrisk:Calculating Spatial Risk
Methods for spatial risk calculations. It offers an efficient approach to determine the sum of all observations within a circle of a certain radius. This might be beneficial for insurers who are required (by a recent European Commission regulation) to determine the maximum value of insured fire risk policies of all buildings that are partly or fully located within a circle of a radius of 200m. See Church (1974) <doi:10.1007/BF01942293> for a description of the problem.
Maintained by Martin Haringa. Last updated 7 months ago.
actuarial-scienceinsurancesolvency-iispatialcpp
19 stars 4.76 score 30 scripts
jellegoeman
hommel:Methods for Closed Testing with Simes Inequality, in Particular Hommel's Method
Provides methods for closed testing using Simes local tests. In particular, calculates adjusted p-values for Hommel's multiple testing method, and provides lower confidence bounds for true discovery proportions. A robust but more conservative variant of the closed testing procedure that does not require the assumption of Simes inequality is also implemented. The methods have been described in detail in Goeman et al (Biometrika 106, 841-856, 2019).
Maintained by Jelle Goeman. Last updated 3 months ago.
1 stars 2.92 score 25 scripts 11 dependents
