R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 9 of 9 found.
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flexrsurv (Package: flexrsurv) : Fit Relative Survival Model

flexrsurv is used to fit relative survival regression model. Time dependent variables, non-proportionnal (time dependent) effects, non-linear effects are implemented using Splines (B-spline and truncated power basis). Simultaneously non linear and non proportional effects are implemented using approaches developed by Remontet et al.(2007) and Mahboubi et al. (2011).

● Data Source: CranContrib
● Keywords: models, nonlinear, survival
● Alias: Flexrsurv, flexrsurv.ll
● 0 images

flexrsurv -internal.Rd (Package: flexrsurv) :

These are not to be called by the user.

● Data Source: CranContrib
● Keywords: misc
● Alias: *,MSplineBasis,numeric-method, *,SplineBasis,numeric-method, *,TPSplineBasis,numeric-method, *,numeric,MSplineBasis-method, *,numeric,SplineBasis-method, *,numeric,TPSplineBasis-method, *-methods, +,MSplineBasis,MSplineBasis-method, +,MSplineBasis,numeric-method, +,SplineBasis,SplineBasis-method, +,SplineBasis,numeric-method, +,TPSplineBasis,TPSplineBasis-method, +,TPSplineBasis,numeric-method, +,numeric,MSplineBasis-method, +,numeric,SplineBasis-method, +,numeric,TPSplineBasis-method, +-methods, -,MSplineBasis,MSplineBasis-method, -,MSplineBasis,numeric-method, -,SplineBasis,SplineBasis-method, -,SplineBasis,numeric-method, -,TPSplineBasis,numeric-method, -,numeric,MSplineBasis-method, -,numeric,SplineBasis-method, -,numeric,TPSplineBasis-method, --methods, .SplineBasis-class, flexrsurv -internal.Rd, getDegree,.SplineBasis-method, getKnots,.SplineBasis-method, getLog,.SplineBasis-method, getNBases,.SplineBasis-method, getOrder,.SplineBasis-method
● 0 images

flexrsurv-package (Package: flexrsurv) :

Perform relative survival analyses using approaches described in Remontet et al. (2007) Sexpr[results=rd,stage=build]{tools:::Rd_expr_doi("10.1002/sim.2656")} and Mahboubi et al. (2011) Sexpr[results=rd,stage=build]{tools:::Rd_expr_doi("DOI:10.1002/sim.4208")}. The package implements non-linear, non-proportional effects and both non proportional and non linear effects using splines (B-spline and truncated power basis).

● Data Source: CranContrib
● Keywords: model, nonlinear, package, survival
● Alias: flexrsurv-package, flexrsurvpackage
● 0 images

NLL (Package: flexrsurv) : Non Log-Linear effect

Generate the spline basis matrix for non log-linear effect.

● Data Source: CranContrib
● Keywords:
● Alias: NLL
● 0 images

summary.flexrsurv (Package: flexrsurv) : Summarizing Flexible Relative Survival Model Fits

summary methods for class flexrsurv. Produces and prints summaries of the results of a fitted Relative Survival Model

● Data Source: CranContrib
● Keywords:
● Alias: print.summary.flexrsurv, summary.flexrsurv
● 0 images

print.flexrsurv (Package: flexrsurv) : Print a Short Summary of a Relative Survival Model

Print number of observations, number of events, the formula, the estimated coeficients and the log likelihood.

● Data Source: CranContrib
● Keywords:
● Alias: print.flexrsurv
● 0 images

NPH (Package: flexrsurv) : Non Proportional Hazard effect

Generate the design matrix of spline basis for non proportional effect.

● Data Source: CranContrib
● Keywords:
● Alias: NPH
● 0 images

NPHNLL (Package: flexrsurv) : Non Proportional Hazard and Non Log-Linear effect

Generate the design matrix of spline basis for both non log-linear and non proportional effect.

● Data Source: CranContrib
● Keywords:
● Alias: NPHNLL
● 0 images

NLLbeta (Package: flexrsurv) : Non Log-Linear effect and non proportional effect

Internal functions not inteded for users.

● Data Source: CranContrib
● Keywords:
● Alias: NLLbeta, NPHalpha
● 0 images