Displaying 5 results from an estimated 5 matches for "mwb".
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mw
2003 Jul 31
0
Trouble with optim
...indly advised me to look into options of
optim() for the answer. Following his advice and constraining the location
parameters (a, and a1 in the mixture distribution of 3-parameter Weibull
density) in the objective function, my first attempt fitting the mixture
distribution seemed successful:
> mwb.test3 <- optim(c(0.6,8.87, 100, 4.0, 0.001, 89.1, 2.99), mwb3b.obj, x
= x5, hessian = T,
+ control = list(maxit = 2000))
Warning messages:
1: NaNs produced in: log(x)
2: NaNs produced in: log(x)
3: NaNs produced in: log(x)
4: NaNs produced in: log(x)
5: NaNs produced in: log(x)
6:...
2010 Nov 13
2
interpretation of coefficients in survreg AND obtaining the hazard function for an individual given a set of predictors
...ow' and 'high' categories
slr <- Surv(stc1$ti_lr, stc1$ev_lr==1)
mca <- coxph(slr~as.factor(grade2=='high'), data=stc1)
mcb <- coxph(slr~as.factor(grade2), data=stc1)
mwa <- survreg(slr~as.factor(grade2=='high'), data=stc1, dist='weibull',
scale=0)
mwb <- survreg(slr~as.factor(grade2), data=stc1, dist='weibull', scale=0)
> summary(mca)$coef
coef
exp(coef) se(coef) z Pr(>|z|)
as.factor(grade2 == "high")TRUE 0.2416...
2010 Nov 16
1
Re : interpretation of coefficients in survreg AND obtaining the hazard function for an individual given a set of predictors
...>
> slr <- Surv(stc1$ti_lr, stc1$ev_lr==1)
>
> mca <- coxph(slr~as.factor(grade2=='high'), data=stc1)
> mcb <- coxph(slr~as.factor(grade2), data=stc1)
> mwa <- survreg(slr~as.factor(grade2=='high'), data=stc1, dist='weibull',
> scale=0)
> mwb <- survreg(slr~as.factor(grade2), data=stc1, dist='weibull', scale=0)
>
>> summary(mca)$coef
> coef
> exp(coef) se(coef) z Pr(>|z|)
> as.factor(grade2 == "high")TR...
2010 Nov 15
1
interpretation of coefficients in survreg AND obtaining the hazard function
...ow' and 'high' categories
slr <- Surv(stc1$ti_lr, stc1$ev_lr==1)
mca <- coxph(slr~as.factor(grade2=='high'), data=stc1)
mcb <- coxph(slr~as.factor(grade2), data=stc1)
mwa <- survreg(slr~as.factor(grade2=='high'), data=stc1,
dist='weibull',
scale=0)
mwb <- survreg(slr~as.factor(grade2), data=stc1, dist='weibull',
scale=0)
> summary(mca)$coef
coef
exp(coef) se(coef) z Pr(>|z|)
as.factor(grade2 == "high")TRUE 0.2416562 1.273356 0.2456232
0.9838494 0.3251896
&...
2009 Jul 23
1
[PATCH server] changes required for fedora rawhide inclusion.
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