Found 29 packages in 0.02 seconds
Complete Environment for Bayesian Inference
Provides a complete environment for Bayesian inference using a variety of different samplers (see ?LaplacesDemon for an overview).
Statistical Methods for Archaeology
Statistical pattern recognition and dating using archaeological artefacts assemblages.
Package of statistical tools for archaeology.
hclustcompro(perioclust): Bellanger Lise, Coulon Arthur, Husi Philippe (2020, ISBN:978-3-030-60103-4).
seriograph: Bruno Desachy (2004)
Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data
Multiblock data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: (i) to study the relationships between blocks and (ii) to identify subsets of variables of each block which are active in their relationships with the other blocks.
Bayesian Latent Class Analysis
Bayesian Latent Class Analysis using several different methods.
Empirical Transition Matrix
The etm (empirical transition matrix) package permits to estimate the matrix of transition probabilities for any time-inhomogeneous multi-state model with finite state space using the Aalen-Johansen estimator. Functions for data preparation and for displaying are also included (Allignol et al., 2011
Statistical Methods and Models for Claims Reserving in General Insurance
Various statistical methods and models which are typically used for the estimation of outstanding claims reserves in general insurance, including those to estimate the claims development result as required under Solvency II.
Nelson-Aalen Estimator of the Cumulative Hazard in Multistate Models
Computes the Nelson-Aalen estimator of the cumulative transition hazard for arbitrary Markov multistate models
Interaction with "RevBayes" in R
Interaction with "RevBayes" via R. Objects created in "RevBayes" can be passed into the R environment, and many types can be converted into similar R objects. To download "RevBayes", go to < https://revbayes.github.io/download>.
The Conditional Probability Function of a Competing Event
Permits to estimate the conditional probability function of a competing event, and to fit, using the temporal process regression or the pseudo-value approach, a proportional-odds model to the conditional probability function (or other models by specifying another link function). See
Kaplan-Meier Multiple Imputation for the Analysis of Cumulative Incidence Functions in the Competing Risks Setting
Performs a Kaplan-Meier multiple imputation to recover the missing potential censoring information from competing risks events, so that standard right-censored methods could be applied to the imputed data sets to perform analyses of the cumulative incidence functions (Allignol and Beyersmann, 2010