Showing content from http://cran.rstudio.com/web/packages/Rcpp/../sparseDFM/../Rcpp/../Colossus/vignettes/SMR_Analysis.R below:
## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(Colossus) library(survival) ## ----eval=TRUE---------------------------------------------------------------- data(cancer, package = "survival") cancer$status <- as.integer(cancer$status == 2) cancer$time <- cancer$time / 100 cancer$erate <- 0.5 ## ----eval=TRUE---------------------------------------------------------------- pyr <- "time" event <- "status" names <- c("erate") term_n <- c(0) tform <- c("lin") keep_constant <- c(0) a_n <- c(1) modelform <- "M" control <- list( "ncores" = 1, "maxiter" = 20, "halfmax" = 5, "epsilon" = 1e-9, "deriv_epsilon" = 1e-9, "verbose" = 2 ) e <- RunPoissonRegression_Omnibus( cancer, pyr, event, names, term_n, tform, keep_constant, a_n, modelform, control ) Interpret_Output(e) ## ----eval=TRUE---------------------------------------------------------------- names <- c("erate", "sex") term_n <- c(0, 1) tform <- c("lin", "lin") keep_constant <- c(0, 0) a_n <- c(1, 1) e <- RunPoissonRegression_Omnibus( cancer, pyr, event, names, term_n, tform, keep_constant, a_n, modelform, control = control ) Interpret_Output(e)
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