scam: Supported Classes and Metrics (SCAM)
R: Supported Classes and Metrics (SCAM)
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Supported Classes and Metrics (SCAM)
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Explore effect of prevention
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Shape constrained additive models (SCAM) and integrated...
const macros = { "\\R": "\\textsf{R}", "\\code
R: Single Component Adaptative Metropolis (SCAM) algorithm with...
scamR Documentation
Single Component Adaptative
Package: scam
Version: 1.2-21
Authors@R: person(given = "Natalya",
R: Intrusion
intrusionR Documentation
Intrusion
, { throwOnError: false, macros }); }
return;
scam-packageR Documentation
R: Architecture
architectureR Documentation
Architecture
(object$edf)
dimnames(vc) <- list(name, name)
##' Extract coefficients from a fitted `scam` model
R: Technicals
TechnicalsR Documentation
Technicals
title: "Using PREVENT Risk Score Functions"
author: "CVrisk Package"
date: "`r Sys.Date()`"
(object$edf)
dimnames(vc) <- list(name, name)
##' Extract coefficients from a fitted `scam` model
R: Technicals
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
from a fitted `scam` model.
#'
#' @param object a model object fitted by `scam()`
R: Get the architecture of an object or coerce it into another
const macros = { "\\R": "\\textsf{R}", "\\code
## Test other scam methods
test_that("smooth_estimates works for scams", {
expect_silent(sm1 <- smooth_estimates(sw
title: "Using PREVENT Risk Score Functions"
author: "CVrisk Package"
date: "`r Sys.Date()`"
# smoker = c(0, 0, 0),
# egfr = c(90, 90, 75),
# bmi = c(35, 30, 32)
R: SCAM residuals
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: SCAM formula
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
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