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Searched +refs:svykm +refs:survey +refs:design (Results 1 – 12 of 12) sorted by relevance

/dports/math/R-cran-survey/survey/
H A DNAMESPACE124 S3method(svyglm,survey.design)
233 S3method(svykm, survey.design)
234 S3method(svykm, svyrep.design)
235 S3method(svykm, DBIsvydesign)
236 S3method(plot,svykm)
237 S3method(print,svykm)
239 S3method(lines, svykm)
241 S3method(quantile, svykm)
242 S3method(confint,svykm)
313 S3method(dim,survey.design)
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H A DINDEX1 svydesign Specify a survey design
4 as.svrepdesign Compute replication weights for a design
6 subset.survey.design Subset of survey
7 update.survey.design Add variables to a survey design
8 postStratify Post-stratify a survey design
9 rake Rake a survey design
17 svycoplot Conditioning plots for survey data
18 svyqqplot Quantile-quantile plots for survey data
22 svykm Survival curves
30 deff extract design effect
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H A DMD536 7804b6927ff1dd4abc4001a7f91a9346 *R/survey.R
46 d8493d6ede129bb9e4e3ff7ed94773b0 *R/svykm.R
95 da0b23328004b9044b0f62f9341945b9 *inst/doc/survey.R
96 dfdd268e5e85cdb9422e11b2c183aa79 *inst/doc/survey.Rnw
97 27e929a854df64d1cae2961b2480a4ab *inst/doc/survey.pdf
138 e2d5e837e99c491b1c02c0d135516aa3 *man/subset.survey.design.Rd
160 342cc57dfb19aabc36854c557774739b *man/svykm.Rd
180 235915d70b5a349e96a7962fa40be8cf *man/update.survey.design.Rd
181 20ee2b3e3a8d1848105f1cee6d57aeab *man/weights.survey.design.Rd
183 075d275064dd0be36ad5414fd844e79c *man/withPV.survey.design.Rd
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/dports/math/R-cran-survey/survey/man/
H A Dsvykm.Rd1 \name{svykm}
2 \alias{svykm}
3 \alias{plot.svykm}
5 \alias{lines.svykm}
7 \alias{confint.svykm}
15 svykm(formula, design,se=FALSE, ...)
27 \item{design}{survey design object}
90 s1<-svykm(Surv(time,status>0)~1, design=dpbc)
91 s2<-svykm(Surv(time,status>0)~I(bili>6), design=dpbc)
99 s3<-svykm(Surv(time,status>0)~I(bili>6), design=dpbc,se=TRUE)
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H A Dsvycoxph.Rd3 \alias{svycoxph.survey.design2}
4 \alias{svycoxph.survey.design}
5 \alias{svycoxph.svyrep.design}
17 Fit a proportional hazards model to data from a complex survey design.
20 svycoxph(formula, design,subset=NULL, rescale=TRUE, ...)
28 \item{design}{ \code{survey.design} object. Must contain all variables
73 class \code{svykm} or \code{svykmlist} for \code{predict(,type="curve")}.
82 from survey data. Biometrika 79: 139-147
95 \code{\link{svykm}} for estimation of Kaplan-Meier survival curves and
115 svycoxph(Surv(time,status>0)~log(bili)+protime+albumin,design=rpbc)
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H A Dsvylogrank.Rd17 svylogrank(formula, design, rho=0,gamma=0,method=c("small","large","score"), ...)
24 \item{design}{
25 A survey design object
53 \code{\link{svykm}}, \code{\link{svycoxph}}.
61 svylogrank(Surv(edrel,rel)~factor(stage),design=dcchs)
69 svylogrank(Surv(time,status==2)~trt,design=dpbc)
71 svylogrank(Surv(time,status==2)~trt,design=dpbc,rho=1)
74 svylogrank(Surv(time,status==2)~trt,design=rpbc)
79 \keyword{survey}
H A Dmarginpred.Rd12 Reweights the design (using \code{\link{calibrate}}) so that the adjustment variables are uncorrela…
32 design object of the model
60 m0<-svycoxph(Surv(time,status)~group,design=des)
61 m1<-svycoxph(Surv(time,status)~group+x,design=des)
75 s2<-svykm(Surv(time,status>0)~group, design=des)
82 logisticm <- svyglm(group~time, family=quasibinomial, design=des)
88 \keyword{survey}
H A Doldsvyquantile.Rd3 \alias{oldsvyquantile.survey.design}
4 \alias{oldsvyquantile.svyrep.design}
15 \method{oldsvyquantile}{survey.design}(x, design, quantiles, alpha=0.05,
19 \method{oldsvyquantile}{svyrep.design}(x, design, quantiles,
27 \item{design}{\code{survey.design} or \code{svyrep.design} object}
58 For \code{survey.design} objects the default is
88 \code{survey.design} objects (with \code{alpha=0.05}).
105 \code{\link{svykm}} for quantiles of survival curves
122 function with a complex survey. Technical Report, Iowa State
165 oldsvyquantile(~arrests+alive, design=scdrep, quantile=0.5, interval.type="quantile")
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/dports/math/R-cran-survey/survey/tests/
H A Dsurvcurve.R1 library(survey)
10 s1<-svykm(Surv(time,status>0)~1, subset(dpbc1, bili>6), se=TRUE)
11 s2<-svykm(Surv(time,status>0)~1, subset(dpbc2, bili>6), se=TRUE)
17 m1<-svycoxph(Surv(time,status>0)~log(bili), design=dpbc1)
18 m2<-svycoxph(Surv(time,status>0)~log(bili), design=dpbc2)
H A Dsurvcurve.Rout.save18 > library(survey)
20 Attaching package: 'survey'
41 > s1<-svykm(Surv(time,status>0)~1, subset(dpbc1, bili>6), se=TRUE)
42 > s2<-svykm(Surv(time,status>0)~1, subset(dpbc2, bili>6), se=TRUE)
61 > m1<-svycoxph(Surv(time,status>0)~log(bili), design=dpbc1)
62 > m2<-svycoxph(Surv(time,status>0)~log(bili), design=dpbc2)
/dports/math/R-cran-survey/survey/inst/
H A DNEWS78 regTermTest(,method="LRT") didn't work if the survey design object and model were
155 3.36 Add withPV.survey.design for plausible-value analyses (needs mitools >=2.4)
276 fix return() without parentheses in svykm.R
677 standard errors for svykm use a bit less memory.
679 quantile.svykm can do confidence intervals
681 added some references on svykm standard errors.
685 3.13 Add standard errors to svykm() (for Norman Breslow)
844 print methods for svykm, svykmlist weren't exported.
1167 rake() on survey design objects was accumulating cruft in the
1199 2.9 Added full multistage sampling, involving a redesign of the survey.design
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/dports/math/R-cran-prodlim/prodlim/tests/testthat/
H A Dprodlim.R140 library(survey)
150 survey.1<-svykm(Surv(time,status>0)~1, design=dpbc)