similar to: psm/survreg coefficient values ?

Does Surv in psm handle interval2 data? The argument list seems to indicate it does but I get an error. Thanks, Chris # code library('survival') left <- c(1, 3, 5, NA) right <-c(2, 3, NA, 4) Surv(left, right, type='interval2') survreg(Surv(left, right, type='interval2') ~ 1) library('rms') Surv(left, right, type='interval2') # error args(Surv)

Full_Name: Oleg Raisky Version: 1.8.1 OS: Windows 2000 Submission from: (NULL) (63.246.203.107) This is a completely fresh R install. I'm trying to use Design package. Every time I run the first example for psm() I'm getting an error <<couldn't find function "survreg.fit">>. However, survreg.fit does exists in the search path. Is there something I can do to fix

While sm4.6ll<-fit.mult.impute(Surv(agesi, si)~partner+ in.love+ pubty+ FPA+ strat(gender),fitter = cph, xtrans = dated.sexrisk2.i, data = dated.sexrisk2, x=T,y=T,surv=T, time.inc=16) runs perfectly using Hmisc, Design and mice under R11 run via Sciviews-K, with library(Design) library(mice) ds2d<-datadist(dated.sexrisk2) options(datadist="ds2d")

I am using psm to fit a survival model with a dataset that has missing values, e.g., DS <-psm(Surv(los,DSCHRG) ~AGE + SEX + ACUITY, data=LOS,dist='weibull',x=TRUE,y=TRUE) and I notice that when I look at the output there are 0 missing values and when I use the summary function e.g., summary(DS) plot(summary(DS)) the missing values are showing up as a category e.g., for Sex F: F:M

I am trying to replicate the repeated measures example from Dr.Faraway's book (Extending the linear model with R) as follows: data(vision) vision$npower <- rep(1:4,14) mmod <-lmer(acuity~power+(1|subject)+(1|subject:eye),vision) When I look at the fixed effects p-value, it is missing. Am I missing something here? Thanks. Fixed effects: Estimate Std. Error t value

Hola chic en s, alguien con experiencia en propensión score matching? Planteo duda: Clasicamente el PSM se ha utilizado en un intento de homogeneizar cohortes de enfermos quienes han estado ?expuestos? a un tratamiento x Vs aquellos que no han estado expuestos (no expuestos). Esto aplica para medicamentos o procedimientos quirúrgicos o no. Bien, En algún articulo he leído que el PSM se puede

Dear R-listers, I know that there have been many, many posts on the output from Survreg. To summarise what I have read, Scale is 1/shape of the Weibull which is also the standard deviation of the normal distribution which is also the standard deviation of the log survival time and Intercept is log(scale). I also know that the hazard function can be calculated from the output to give something

Hi, I've recently installed FreeBSD 6.3, and I've got a problem with synaptics. I've installed it, followed the pkg-message : hw.psm.synaptics_support=1 It works, dmesg gives : psm0: <PS/2 Mouse> irq 12 on atkbdc0 psm0: [GIANT-LOCKED] psm0: model Synaptics Touchpad, device ID 0 moused_enable="NO" ps shows me that moused doesn't run. xorg.conf : InputDevice

I am cleaning up the rms package to not export functions not to be called directly by users. rms uses generic functions defined in other packages. For example there is a latex method in the Hmisc package, and rms has a latex method for objects of class "anova.rms" so there are anova.rms and latex.anova.rms functions in rms. I use:

I quote from "Principles of Digital Audio" by Ken C. Pohlmann: "Because perceptual coders tailor the coded signal to the ear's acuity, they similarly tailor the required response of the playback system itself. Live music does not pass through amplifiers and loudspeakers, it goes directly to the ear. But recorded music must pass through the playback signal chain. Much of the

Dear All, I would like to fit some parametric survival models using left truncated, right censored data in R. However I am having problems finding a function to fit parametric survival models which can handle left truncated data. I have tested both the survreg function in package survival: fit1 <- survreg(Surv(start, stop, status) ~ X + Y + Z, data=data1) and the psm function in package

After some poking into psm.c code I've got some results. First, for the archives, debug.psm.loglevel tunable is much more useful than a verbose boot for debugging PS/2 mouse issues. A good value is 2. Second, I fiddled with various probe methods to force them to "recognize" my mouse (by loosening their checks) and found out that the mouse works perfectly if it is treated as

Hi to all, I am working on design package using survival function. First using PSM and adopting a weibull specification for the baseline hazard , I have got the following results(since weibull has both PH and AFT propreties ,in addition I have used the PPHSm command): Value Std. Error z p (Intercept) 1.768 1.0007 1.77 7.73e-02 SIZE -0.707 0.0895 -7.90 2.80e-15

Am 15.01.20 um 15:02 schrieb James Pearson: > Phil Perry wrote: >> >>>> What is the threat you're trying to mitigate, specifically?? I don't >>>> see >>>> how pairing a tablet would allow file transfers.? An unauthorized >>>> device >>>> can't unilaterally pair with your system. >>> If you enable Bluetooth

Asterisk work does not pay all of my bills, so I have joined up with a company that has a very good payment plan. I have recently become a Mona Vie Independent Distributor. I am not going to go into a sales pitch. This is just an FYI to this opportunity. The company has grown into a Billion dollar company in just 2 years. This company's compensation plan is the best and quickest that I have

All, I am working with a large data set (~ 450,000 rows by 34 columns) I am trying to fit a regression model (I have tried to use several procedures psm (Design package) lm, glm). However whenever I try to fit the model I get the following error: Error: cannot allocate vector of size 1.1 Gb Here are the specs of the machine and version of R I am using Windows Server 2003 R2 Enterprise x64

Hi! FreeBSD Communiti-Stable Who I'm use my audio AU8820B chipset on 4.8-stable what kernel opntion needed? What adding optional I need? in kernelconf: psm is right also: MAKDEV snd[01] - also my don't work ;-( What's I need? Dima. ---------------- Dmitry Parfinov // dp119-ripn

Author: eota Repository: /hg/zfs-crypto/gate Revision: 50021b84343742e322d24ce75d5cf4b26369fd38 Log message: 6310483 boot needs some more help for gcc on SPARC Files: create: usr/src/psm/stand/boot/sparc/common/util.h update: usr/src/psm/promif/ieee1275/common/prom_node.c update: usr/src/psm/promif/ieee1275/common/prom_test.c update: usr/src/psm/stand/boot/common/readfile.c update:

Dear R users, Please can you help me with a relatively straightforward problem that I am struggling with? I am simply trying to plot a baseline survivor and hazard function for a simple data set of lung cancer survival where `futime' is follow up time in months and status is 1=dead and 0=alive. Using the survival package: lung.wbs <- survreg( Surv(futime, status)~ 1, data=lung,

Dear list, I'm facing the following problem : A cox model with my sex variable interacting with several continuous variables : cph(S~sex*(x1+x2+x3)) And I'd like to make a nomogram. I know it's a bit tricky and one mights argue that nomogram is not a good a choice... I could use the parameter interact=list(sex=("male","female"),x1=c(a,b,c))... but with rcs or pol