Packaged: 2021-02-17 06:40:33 UTC; utilisateur

Title: Mixed models for complete and partial IPD survival meta-analysis
Depends: survival, coxme, Matrix, phmm, metafor
Description: Mixed effects IPD meta-analysis, mixed data meta-analysis
with patient level data and mulivariate survival estimates for

Title: Individual patient and Mixed-level Meta-analysis of
Description: Mixed effects IPD meta-analysis, mixed-level meta-analysis

Title: Tools for Individual patient data and Mixed-level Meta-analysis

Title: Functions for characterizing subgroup analyses with
Description: Assess heterogeneity of covariates defining subgroups; estimate the power of a treatment-covariate interaction for an individual patient data meta-analysis using aggregate data
Packaged: 2012-01-03 03:03:53 UTC; kovalchiksa

Title: Tools for subgroup analyses with multiple trial data using
Description: This package provides functions to estimate an IPD linear
mixed effects model for a continuous outcome and any
categorical covariate from study summary statistics. There are
also functions for estimating the power of a
treatment-covariate interaction test in an individual patient
Packaged: 2012-06-12 03:39:44 UTC; kovalchiksa

Packaged: 2012-09-04 16:59:23 UTC; kovalchiksa

Title: ipdw: Interpolation by Inverse Path Distance Weighting
Description: Interpolation of geo-referenced point data by Inverse

Title: Spatial Interpolation by Inverse Path Distance Weighting
Description: Functions are provided to interpolate georeferenced point data via Inverse Path Distance Weighting. Useful for coastal marine applications where barriers in the landscape preclude interpolation with Euclidean distances.

Description: Functions are provided to interpolate georeferenced point data via
Inverse Path Distance Weighting. Useful for coastal marine applications where
barriers in the landscape preclude interpolation with Euclidean distances.

Description: Functions are provided to interpolate geo-referenced point data via
Suggests: geoR,gstat,gdata,spatstat,rgdal, testthat, knitr, rmarkdown