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R: Compute a Relative Survival Curve from an additive relative...
...a Relative Survival Curve from an additive relative survival model Description Computes the predicted relative survival function for an additive relative survival model fitted with maximum likelihood.
/CRAN/refmans/relsurv/html/rs.surv.rsadd.html
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R: Relative Survival
...of death colrec Relative Survival Data epa Excess hazard function smoothing expprep2 expprep2 function invtime Inverse transforming of time in Relative Survival joinrate Join ratetables nessie Net...
/CRAN/refmans/relsurv/html/00Index.html
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R: Flexible Relative Survival Analysis
...flexible relative survival analyses flexrsurv Fit Relative Survival Model flexrsurv.ll Fit Relative Survival Model flexrsurvclt Fit Relative Survival Model and Correct Life Tables flexrsurvclt.ll Fit...
/CRAN/refmans/flexrsurv/html/00Index.html
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R: Relative Survival, AER and SMR Based on French Death Rates
Relative Survival, AER and SMR Based on French Death Rates Documentation for package ‘survexp.fr’ version 1.1 DESCRIPTION file. Package NEWS. Help Pages survexp.fr-package Relative survival, AER...
/CRAN/refmans/survexp.fr/html/00Index.html
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R: Package for flexible relative survival analyses
...flexible relative survival analyses Description flexrsurv is a package for parametric relative survival analyses. The package implements non-linear, non-proportional effects and both non proportional...
/CRAN/refmans/flexrsurv/html/Flexrsurvpackage.html
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R: Observed Kaplan-Meier, expected and relative survival curves
...relative survival curves Description Displays the observed Kaplan-Meier, expected and relative survival curves Usage survexp_plot( futime, status, age, sex, entry_date, ratetable = survexp.fr::survexp...
/CRAN/refmans/survexp.fr/html/survexp_plot.html
cran-help matching:
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R: Behaviour of Covariates in Time for Relative Survival...
...residuals of a relative survival model (rsadd, rsmul or rstrans) Usage rs.zph(fit, sc, transform = "identity", var.type = "sum") Arguments fit the result of fitting an additive relative survival model...
/CRAN/refmans/relsurv/html/rs.zph.html
cran-help matching:
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R: Inverse transforming of time in Relative Survival
...when predicting in Relative Survival using the transformed time regression model (using rstrans function). It inverses the time from Y to T in relative survival using the given ratetable. The times Y...
/CRAN/refmans/relsurv/html/invtime.html
cran-help matching:
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R: Relative survival, AER and SMR based on French death rates
...Relative survival, AER and SMR based on French death rates Description Relative survival, AER and SMR based on French death rates Author(s) Jean-Philippe Jais and Hugo Varet [Package survexp.fr...
/CRAN/refmans/survexp.fr/html/survexp.fr-package.html
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R: Relative Survival Data
...Relative Survival Data Description Survival of patients with colon and rectal cancer diagnosed in 1994-2000. Usage data(colrec) Format A data frame with 5971 observations on the following 7 variables...
/CRAN/refmans/relsurv/html/colrec.html
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R: Marginal piecewise parametric relative survival curve
rpcurve {popEpi} R Documentation Marginal piecewise parametric relative survival curve Description Fit a marginal relative survival curve based on a relpois fit Usage rpcurve(object)...
/CRAN/refmans/popEpi/html/rpcurve.html
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R: Summarizing Flexible Relative Survival Model Fits
...Summarizing Flexible Relative Survival Model Fits Description summary methods for class flexrsurv. Produces and prints summaries of the results of a fitted Relative Survival Model Usage ## S3 method...
/CRAN/refmans/flexrsurv/html/summary.flexrsurv.html
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R: Print a Short Summary of a Relative Survival Model
...Summary of a Relative Survival Model Description Print number of observations, number of events, the formula, the estimated coeficients and the log likelihood. Usage ## S3 method for class 'flexrsurv'...
/CRAN/refmans/flexrsurv/html/print.flexrsurv.html
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R: Compute a Relative Survival Curve
...a Relative Survival Curve Description Computes an estimate of the relative survival curve using the Ederer I, Ederer II method, Pohar-Perme method or the Hakulinen method Usage rs.surv( formula...
/CRAN/refmans/relsurv/html/rs.surv.html
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R: Relative Survival AH model.
...Relative Survival AH model. Description The flexible parametric accelerated excess hazards (AEH) model's maximum likelihood estimation, log-likelihood, and information criterion. Baseline hazards:NGLL...
/CRAN/refmans/AHSurv/html/AEHMLE.html
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R: Predictions for a relative survival model
...Predictions for a relative survival model Description Predict linear predictors, hazard and cumulative hazard for a model fitted by flexrsuv Usage ## S3 method for class 'flexrsurv' predict(object...
/CRAN/refmans/flexrsurv/html/predict.flexrsurv.html
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R: Extend a multi-state model using relative survival
msfit.relsurv {mstate} R Documentation Extend a multi-state model using relative survival Description A function that takes a fitted msfit object and upgrades it using relative survival, where chosen...
/CRAN/refmans/mstate/html/msfit.relsurv.html
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R: Fit an Additive model for Relative Survival
...Relative Survival Description The function fits an additive model to the data. The methods implemented are the maximum likelihood method, the semiparametric method, a glm model with a binomial error...
/CRAN/refmans/relsurv/html/rsadd.html
cran-help matching:
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R: Fit Relative Survival Model
...Fit Relative Survival Model Description flexrsurv is used to fit relative survival regression model. Time dependent variables, non-proportionnal (time dependent) effects, non-linear effects are...
/CRAN/refmans/flexrsurv/html/Flexrsurv.html
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R: Fit Relative Survival Model and Correct Life Tables
...Relative Survival Model and Correct Life Tables Description flexrsurvclt is used to fit relative survival regression model. transition package. Usage flexrsurvclt(formula=formula(data), formula.table...
/CRAN/refmans/flexrsurv/html/FlexrsurvLT.html
cran-help matching:
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R: 3-state Relative Survival Markov Model with Additive Risks
...3states.rsadd {RISCA} R Documentation 3-state Relative Survival Markov Model with Additive Risks Description The 3-state Markov relative survival model includes an initial state (X=1), a transient...
/CRAN/refmans/RISCA/html/markov.3states.rsadd.html
cran-help matching:
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R: 3-State Relative Survival Semi-Markov Model With Additive...
semi.markov.3states.rsadd {RISCA} R Documentation 3-State Relative Survival Semi-Markov Model With Additive Risks Description The 3-state SMRS model includes an initial state (X=1), a transient state...
/CRAN/refmans/RISCA/html/semi.markov.3states.rsadd.html
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R: 4-state Relative Survival Markov Model with Additive Risks
...4states.rsadd {RISCA} R Documentation 4-state Relative Survival Markov Model with Additive Risks Description The 4-state Markov relative survival model includes an initial state (X=1), a transient...
/CRAN/refmans/RISCA/html/markov.4states.rsadd.html
cran-help matching:
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R: 4-State Relative Survival Semi-Markov Model With Additive...
semi.markov.4states.rsadd {RISCA} R Documentation 4-State Relative Survival Semi-Markov Model With Additive Risks Description The 4-state SMRS model includes an initial state (X=1), a transient state...
/CRAN/refmans/RISCA/html/semi.markov.4states.rsadd.html
cran-help matching:
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R: Calculate Residuals for a "rsadd" Fit
...a fitted additive relative survival model. Typically this is the output from the rsadd function. type character string indicating the type of residual desired. Currently only Schoenfeld residuals are ...
/CRAN/refmans/relsurv/html/residuals.rsadd.html
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R: Test the Proportional Hazards Assumption for Relative...
...for relative survival models (rsadd, rsmul or rstrans) by forming a Brownian Bridge. Usage rs.br(fit, sc, rho = 0, test = "max", global = TRUE) Arguments fit the result of fitting a relative survival...
/CRAN/refmans/relsurv/html/rs.br.html
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R: Causal Inference and Prediction in Cohort-Based Analyses
...ROC Curve From Sensitivities And Specificities. dataCSL CSL Liver Chirrosis Data. dataDIVAT1 A First Sample From The DIVAT Data Bank. dataDIVAT2 A Second Sample From the DIVAT Data Bank. dataDIVAT3...
/CRAN/refmans/RISCA/html/00Index.html
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R: Marginal survival and hazards of fitted flexsurvreg models
...and covariate patterns. Standardization is performed over any undefined covariates in the model. The user provides the data to standardize over. Contrasts can be calculated resulting in estimates...
/CRAN/refmans/flexsurv/html/standsurv.html
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R: Estimate Survival Time Functions
...crude/absolute risk functions (CIF). Usage survtab( formula, data, adjust = NULL, breaks = NULL, pophaz = NULL, weights = NULL, surv.type = "surv.rel", surv.method = "hazard", relsurv.method = "e2"...
/CRAN/refmans/popEpi/html/survtab.html
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R: Excess hazard function smoothing
...EM method. Usage epa(fit,bwin,times,n.bwin=16,left=FALSE) Arguments fit Fit from the additive relative survival model using the EM method. bwin The relative width of the smoothing window (default is 1).
/CRAN/refmans/relsurv/html/epa.html
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R: Fit Andersen et al Multiplicative Regression Model for...
...Regression Model for Relative Survival Description Fits the Andersen et al multiplicative regression model in relative survival. An extension of the coxph function using relative survival. Usage rsmul...
/CRAN/refmans/relsurv/html/rsmul.html
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R: anovir: Analysis of Virulence
...infected hosts due to infection. The ANOVIR package provides functions allowing virulence to be estimated by maximum likelihood techniques. The approach is based on the analysis of relative survival...
/CRAN/refmans/anovir/html/anovir-package.html
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R: Compute a Predicited Survival Curve
...model estimated by rsadd function. Usage ## S3 method for class 'rsadd' survfit( formula, newdata, se.fit = TRUE, conf.int = 0.95, individual = FALSE, conf.type = c("log", "log-log", "plain", "none"), ...
/CRAN/refmans/relsurv/html/survfit.rsadd.html
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R: Estimate Survival Time Functions
...crude/absolute risk functions (CIF). Usage survtab_ag( formula = NULL, data, adjust = NULL, weights = NULL, surv.breaks = NULL, n = "at.risk", d = "from0to1", n.cens = "from0to0", pyrs = "pyrs", d.exp...
/CRAN/refmans/popEpi/html/survtab_ag.html
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R: Graphical Inspection of Proportional Hazards Assumption in...
...in Relative Survival Models Description Displays a graph of the scaled partial residuals, along with a smooth curve. Usage ## S3 method for class 'rs.zph' plot( x, resid = TRUE, df = 4, nsmo = 40, var...
/CRAN/refmans/relsurv/html/plot.rs.zph.html
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R: Reorganize Data into a Ratetable Object
...assists in reorganizing certain types of data into a ratetable object. Usage transrate(men,women,yearlim,int.length=1) Arguments men a matrix containing the yearly (conditional) probabilities of one...
/CRAN/refmans/relsurv/html/transrate.html
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R: Multiplicative-Regression Model to Compare the Risk Factors...
...mr(times, failures, cov.relative, data, cox.reference, cov.reference, ini, iterations) Arguments times The column name in data, in which the time of follow-up of each individual is collected. failures...
/CRAN/refmans/RISCA/html/survival.mr.html
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R: Join ratetables
...more objects organized as ratetable by adding a new dimension. Usage joinrate(tables,dim.name="country") Arguments tables a list of ratetables. If names are given, they are included as dimnames. dim...
/CRAN/refmans/relsurv/html/joinrate.html
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R: Long term survival predictions
...a relative survival model and the expected general population survival. Usage lts( fit, type = c("surv", "hazard", "cumhaz", "loghaz", "fail"), newdata = NULL, time = NULL, var.type = c("ci", "se", "n")...
/CRAN/refmans/cuRe/html/lts.html
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R: Reorganize Data obtained from Human Mortality Database into a...
...function assists in reorganizing the .txt files obtained from Human Mortality Database (http://www.mortality.org) into a ratetable object. Usage transrate.hmd(male, female) Arguments male a .txt file...
/CRAN/refmans/relsurv/html/transrate.hmd.html
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R: Fit Cox Proportional Hazards Model in Transformed Time
...transforms each person's time to his/her probability of dying at that time according to the ratetable. It then fits the Cox proportional hazards model with the transformed times as a response. It can...
/CRAN/refmans/relsurv/html/rstrans.html
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R: Reorganize Data obtained from Human Life-Table Database into...
...function assists in reorganizing the .txt files obtained from Human Life-Table Database (http://www.lifetable.de -> Data by Country) into a ratetable object. Usage transrate.hld(file, cut.year, race)...
/CRAN/refmans/relsurv/html/transrate.hld.html
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R: Test Net Survival Curve Differences
...rmap ) Arguments formula A formula expression as for other survival models, of the form Surv(time, status) ~ predictors. Each combination of predictor values defines a subgroup. A strata term may be...
/CRAN/refmans/relsurv/html/rs.diff.html
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R: Compute Mean Survival Times Using Extrapolation
...curve. The area under the full survival curve is the mean survival. Usage survmean( formula, data, adjust = NULL, weights = NULL, breaks = NULL, pophaz = NULL, e1.breaks = NULL, e1.pophaz = pophaz, ...
/CRAN/refmans/popEpi/html/survmean.html
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R: Predicted values for an stpm2 or pstpm2 fit
..."hr","sdiff", "hdiff","loghazard","link","meansurv","meansurvdiff","meanhr", "odds","or","margsurv","marghaz","marghr","meanhaz","af", "fail","margfail","meanmargsurv","uncured","rmst","probcure"...
/CRAN/refmans/rstpm2/html/predict-methods.html
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R: Fits Proportional excess hazards model with fixed offsets
...Sasieni proportional excess risk model. Usage pe.sasieni( formula = formula(data), data = parent.frame(), id = NULL, start.time = 0, max.time = NULL, offsets = 0, Nit = 50, detail = 0, n.sim = 500...
/CRAN/refmans/timereg/html/pe.sasieni.html
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R: Survival Data
...2=female). year date of diagnosis (in date format). agegr age group. References Pohar M., Stare J. (2006) "Relative survival analysis in R." Computer Methods and Programs in Biomedicine, 81: 272-278.
/CRAN/refmans/relsurv/html/rdata.html
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R: S3 methods for lines
...S3 methods for lines Usage ## S3 method for class 'stpm2' lines(x, newdata = NULL, type = "surv", col = 1, ci.col= "grey", lty = par("lty"), ci = FALSE, rug = FALSE, var = NULL, exposed = NULL, times...
/CRAN/refmans/rstpm2/html/lines.html
cran-help matching:
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R: Crude event probabilities
...computing crude event probabilties based on relative survival models. Usage calc.Crude( object, newdata = NULL, type = c("disease", "other", "condother"), time = NULL, tau = 100, reverse = FALSE, var...
/CRAN/refmans/cuRe/html/calc.Crude.html
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R: Search CRAN packages
...Search the indexed database of current CRAN packages. It uses the pkgsearch package. See that package for more details and also pkgsearch::pkg_search() for pagination, more advanced searching, etc.
/CRAN/refmans/pak/html/pkg_search.html
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R: Functions for Epidemiological Analysis using Population Data
...aggre Aggregation of split 'Lexis' data all_names_present Check if all names are present in given data array_df_ratetable_utils 'array's, 'data.frame's and 'ratetable's array_to_long_df 'array's...
/CRAN/refmans/popEpi/html/00Index.html
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R: Flexible Parametric Accelerated Hazards Models
...Pages AEHMLE Relative Survival AH model. AHMLE Overall Survival AH model. bmt Bone Marrow Transplant (bmt) data set CHBXII Burr-XII (BXII) Cumulative Hazard Function. CHEW Exponentiated Weibull (EW)...
/CRAN/refmans/AHSurv/html/00Index.html
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R: Non Proportional Hazard and Non Log-Linear effect
...NPHNLL(x, timevar, model = c("additive", "multiplicative"), Spline = c("b-spline", "tp-spline", "tpi-spline"), Knots = NULL, Degree = 3, Intercept = FALSE, Boundary.knots = range(x), Knots.t = NULL...
/CRAN/refmans/flexrsurv/html/NPHNLL.html
cran-help matching:
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R: Net Expected Sample Size Is Estimated
...size decreases in time due to population mortality Usage nessie(formula, data, ratetable = relsurv::slopop,times,rmap) Arguments formula a formula object, same as in rs.surv. The right-hand side...
/CRAN/refmans/relsurv/html/nessie.html
cran-help matching:
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R: Loss of lifetime estimation
...computing mean residual lifetime and loss of lifetime estimates based on relative survival models. Usage calc.LL( object, newdata = NULL, type = c("ll", "mrl"), time = NULL, tau = 100, var.type = c...
/CRAN/refmans/cuRe/html/calc.LL.html
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R: anova.constant function used for likelihood-ratio Test of two...
...anova.constant function used for likelihood-ratio Test of two models from xhaz function Description This function compute an analysis of deviance table for two excess hazard models fitted using xhaz...
/CRAN/refmans/xhaz/html/anova.constant.html
cran-help matching:
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R: anova.bsplines function used for likelihood-ratio Test of two...
...anova.bsplines function used for likelihood-ratio Test of two models from xhaz function Description This function compute an analysis of deviance table for two excess hazard models fitted using xhaz...
/CRAN/refmans/xhaz/html/anova.bsplines.html
cran-help matching:
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R: Flexible parametric regression for time-to-event data
...supply their own. Usage flexsurvreg( formula, anc = NULL, data, weights, bhazard, rtrunc, subset, na.action, dist, inits, fixedpars = NULL, dfns = NULL, aux = NULL, cl = 0.95, integ.opts = NULL, sr...
/CRAN/refmans/flexsurv/html/flexsurvreg.html
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R: SDE plugin estimator solver
...gradients. Usage pluginEstimate(n, hazMatrix, F_fun, JacobianList, X0, V0, isLebesgue = NULL) Arguments n Total number of indiivduals hazMatrix Matrix consisting of hazards(rows) and their increments...
/CRAN/refmans/transform.hazards/html/pluginEstimate.html
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R: Compute Expected Survival
...weights, subset, na.action, rmap, times, method=c("ederer", "hakulinen", "conditional", "individual.h", "individual.s"), cohort=TRUE, conditional=FALSE, ratetable=survival::survexp.us, scale=1, se...
/CRAN/refmans/survival/html/survexp.html
cran-help matching:
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R: Negative log-likelihood function: basic model
...(nll) for the 'basic' relative survival model, given the functions' parameters and the observed data. Usage nll_basic( a1 = a1, b1 = b1, a2 = a2, b2 = b2, data = data, time = time, censor = censor...
/CRAN/refmans/anovir/html/nll_basic.html
cran-help matching:
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R: Negative log-likelihood function: basic model on logscale
...returning the negative log-likelihood (nll) for the 'basic' relative survival model, given the functions' parameters and the observed data. Usage nll_basic_logscale( a1 = a1, b1 = b1, a2 = a2, b2 = b2...
/CRAN/refmans/anovir/html/nll_basic_logscale.html
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R: plot.bsplines
...plot( x, cov, conf.int = TRUE, baseline = FALSE, xrange, yrange, xlegend, ylegend, glegend, xaxs = NULL, add = FALSE, col = 1, lty = 1, lwd = 1, ... ) Arguments x An object of class xhaz cov specify...
/CRAN/refmans/xhaz/html/plot.bsplines.html
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R: Calculate the area under the curve for a Hill dose response...
...so is dependent not only on the concentration bounds, but also on the base of the logarithm used. By default, this function follows the common convention of using base 10. Usage calculateHillAUC(hpar...
/CRAN/refmans/basicdrm/html/calculateHillAUC.html
cran-help matching:
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R: Expected Mortality Rates of the General French Population
..."ratetable". The attributes are: dim A numeric vector with the length of each dimension. dimnames A character vector with the names of each variable of the three dimensions. dimid A character vector...
/CRAN/refmans/RISCA/html/fr.ratetable.html
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R: merlin - Mixed Effects Regression for Linear, Nonlinear and...
...merlin fits linear, non-linear and user-defined mixed effects regression models. merlin can fit multivariate outcome models of any type, each of which could be repeatedly measured (longitudinal)...
/CRAN/refmans/merlin/html/merlin.html
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R: Absolute Excess Risk (AER)
...alpha = 0.05 ) Arguments futime follow-up time of the subjects in days status 0 if censored or 1 if dead at futime age age in days sex "male" or "female" entry_date entry date in the study PY.stand...
/CRAN/refmans/survexp.fr/html/AER.html
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R: Parametric and penalised generalised survival models
...and eta is a linear predictor. The linear predictor can include either parametric or penalised smoothers for the time effects, for time:covariate interactions and for covariate effects. The main model...
/CRAN/refmans/rstpm2/html/gsm.html
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R: Flexible survival regression using the Royston/Parmar spline...
...spline model of Royston and Parmar (2002). Usage flexsurvspline( formula, data, weights, bhazard, rtrunc, subset, k = 0, knots = NULL, bknots = NULL, scale = "hazard", timescale = "log", spline = "rp", ...
/CRAN/refmans/flexsurv/html/flexsurvspline.html
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R: Mixture and Non-Mixture Parametric Cure Models
...and non-mixture cure models using flexible base distributions from the flexsurv package. Usage flexsurvcure( formula, data, weights, bhazard, subset, dist, na.action, link = "logistic", mixture = T, ...
/CRAN/refmans/flexsurvcure/html/flexsurvcure.html
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R: Fit generalized mixture cure model
...specified by S(t|z) = \pi(z) + [1 - \pi(z)] S_u(t|z), where g_1[S_u(t|z)] = \eta_1(t, z)\qquad and \qquad g_2[\pi(z)] = \eta_2(z). The function implements multiple link functions for both g_1 and g_2.
/CRAN/refmans/cuRe/html/GenFlexCureModel.html
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R: (Excess) hazard model with (multidimensional) penalized...
...(multidimensional) penalized splines and integrated smoothness estimation Description Fits an (excess) hazard model with (multidimensional) penalized splines allowing for time-dependent effects, non-...
/CRAN/refmans/survPen/html/survPen.html
cran-help matching:
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R: Excess hazard Poisson model
...Estimate a Poisson piecewise constant excess hazards model Usage relpois(data, formula, fot.breaks = NULL, subset = NULL, check = TRUE, ...) Arguments data a dataset split with e.g. lexpand; must have...
/CRAN/refmans/popEpi/html/relpois.html
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R: Bootstrap function for upgraded multi-state models using...
...multi-state models using relative survival. This implementation is written based on function mstate:::msboot. Usage msboot.relsurv( theta, data, B = 10, id = "id", verbose = 0, transmat, all_times...
/CRAN/refmans/mstate/html/msboot.relsurv.html
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R: Overview of rms Package
...graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a re-written version of the Design package that has improved graphics and duplicates very little...
/CRAN/refmans/rms/html/zzzrmsOverview.html
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R: Compute crude probability of death
...Estimates the crude probability of death due to disease and due to population reasons Usage cmp.rel( formula = formula(data), data = parent.frame(), ratetable = relsurv::slopop, na.action, tau, conf...
/CRAN/refmans/relsurv/html/cmp.rel.html
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R: xhaz function
...model proposed by Giorgi et al. (2005) doi:10.1002/sim.2400. In addition, fits excess hazard models with possibility to rescale (Goungounga et al. (2019) doi:10.1186/s12874-019-0747-3) or to correct...
/CRAN/refmans/xhaz/html/xhaz.html
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R: Create and Plot _P_-Value Functions, S-Value Functions,...
...(cdf), confidence densities (pdf), Shannon suprisal (s-value) functions and p-value functions for several commonly used estimates. In addition, counternulls (see Rosenthal et al. 1994), point...
/CRAN/refmans/pvaluefunctions/html/conf_dist.html
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R: Predictions for relational life table model
...'flexrsurvclt' predictCLT(object, newdata= NULL, type = c("clt", "correction"), se.fit=FALSE, na.action=na.pass, newcoef = NULL, ...) ## Default S3 method: predictCLT(knots, degree, newdata, newcoef...
/CRAN/refmans/flexrsurv/html/predictCLT.html
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R: Data Preparation, Estimation and Prediction in Multi-State Models
...absorbing Help functions for transition matrix aidssi Data from the Amsterdam Cohort Studies on HIV infection and AIDS aidssi2 Data from the Amsterdam Cohort Studies on HIV infection and AIDS bmt BMT...
/CRAN/refmans/mstate/html/00Index.html
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R: 3-State Time-Inhomogeneous Markov Model
...this illness-death model, the possible transitions are: 1->2, 1->3 and 2->3. Usage markov.3states(times1, times2, sequences, weights=NULL, dist, cuts.12=NULL, cuts.13=NULL, cuts.23=NULL, ini.dist.12...
/CRAN/refmans/RISCA/html/markov.3states.html
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R: 3-State Semi-Markov Model
...SM model includes an initial state (X=1), a transient state (X=2) and an absorbing state (X=3). Usually, X=1 corresponds to disease-free or remission, X=2 to relapse, and X=3 to death. In this illness-...
/CRAN/refmans/RISCA/html/semi.markov.3states.html
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R: 4-State Time-Inhomogeneous Markov Model
markov.4states {RISCA} R Documentation 4-State Time-Inhomogeneous Markov Model Description The 4-state Markov model includes an initial state (X=1), a transient state (X=2) and two absorbing states (X...
/CRAN/refmans/RISCA/html/markov.4states.html
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R: 4-State Semi-Markov Model
...4states {RISCA} R Documentation 4-State Semi-Markov Model Description The 4-state SM model includes an initial state (X=1), a transient state (X=2) and two absorbing states (X=3 and X=4). Usually, X=1...
/CRAN/refmans/RISCA/html/semi.markov.4states.html
cran-help matching:
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