Description: Conditional graphical lasso estimator is an extension of the graphical lasso proposed to estimate the conditional dependence structure of a set of p response variables given q predictors. This package provides suitable extensions developed to study datasets with censored and/or missing values. Standard conditional graphical lasso is available as a special case. Furthermore, the package provides an integrated set of core routines for visualization, analysis, and simulation of datasets with censored and/or missing values drawn from a Gaussian graphical model. Details about the implemented models can be found in Augugliaro et al. (2020b) <\doi{10.1007/s11222-020-09945-7}>, Augugliaro et al. (2020a) <\doi{10.1093/biostatistics/kxy043}>, Yin et al. (2001) <\doi{10.1214/11-AOAS494}> and Stadler et al. (2012) <\doi{10.1007/s11222-010-9219-7}>.
Packaged: 2021-01-09 06:51:32 UTC; luigiaugugliaro

Description: Conditional graphical lasso estimator is an extension of the graphical lasso proposed to estimate the conditional dependence structure of a set of p response variables given q predictors. This package provides suitable extensions developed to study datasets with censored and/or missing values. Standard conditional graphical lasso is available as a special case. Furthermore, the package provides an integrated set of core routines for visualization, analysis, and simulation of datasets with censored and/or missing values drawn from a Gaussian graphical model. Details about the implemented models can be found in Augugliaro et al. (2020b) <doi: 10.1007/s11222-020-09945-7>, Augugliaro et al. (2020a) <doi: 10.1093/biostatistics/kxy043>, Yin et al. (2001) <doi: 10.1214/11-AOAS494> and Stadler et al. (2012) <doi: 10.1007/s11222-010-9219-7>.
Packaged: 2021-01-20 14:59:59 UTC; luigiaugugliaro

Packaged: 2021-04-05 06:55:31 UTC; luigiaugugliaro

Packaged: 2021-04-09 07:49:19 UTC; luigiaugugliaro

Packaged: 2022-05-27 09:49:34 UTC; francesca

Title: Fits Conditional Generalized Linear Models
Description: Estimates the ratio of the regression coefficients and the dispersion parameter in conditional generalized linear models for clustered data.
Imports: Rcpp (>= 0.12.18), stats, nleqslv, data.table