flexsurv-dev

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`predict.flexsurvreg()` doesn't nest for a single time point

4

I noticed that flexsurv's predict method does not nest the survival probabilities if there's only one time point to calculate the probability at. While nesting isn't neccessary in that case...

hfrick

Noticed that both lognormal and loglogistic use the same survreg distribution in initialisation, not sure if this is a typo? https://github.com/chjackson/flexsurv/blob/e16d5fd5eb419e876b15d0b35a94cf59d2063cc7/R/distributions.R#L63

stephematician

Repeated measures for time-dependent covariates

6

Hi @chjackson, I'm currently working with the `flexsurvreg()` function from your package, which offers great features for dealing with time-dependent covariates. However, I've encountered an issue related to repeated observations...

mengyi-git

Random effects/frailty models?

3

From the vignette: > flexsurv does not currently support shared frailty, clustered or random effects models. Is there any workaround for this? I am working with a highly heterogeneous system,...

casasgomezuribarri

coefficients in opposite signs compared to survreg

1

Hi I see conflicting results between `survival` and `flexsurv`. Is there a reason for this? Below is a reproducible example. From the data, I know that the output from `survival`...

abduazizR

adding time-dependent covariate in flexsurvspline

1

Hi, thanks for giving us great package to use. I'm trying to fitting model with time-dependent covariate using flexsurvspline function ``` flexsurvspline(Surv(start_t, end_t, status) ~ cov1, data = data, k...

quanhomie

`coxsnell_flexsurvreg` fails when the formula contains a transformation. ```{r} fitg

chjackson

Relative Survival model no longer compatible with R versions < 4.2

1

I'm no longer able to run relative survival models on R versions < 4.2. Running on version 4.1 I get the following. ``` bc$bh

mikesweeting

Splines not supported by standsurv without specifying newdata

2

I really appreciate this package. It makes things much easier, particularly with regard to generating causal contrasts and getting reasonable variance estimates. I ran into an issue trying to get...

markdanese

faster bootstrap iterations for large data?

3

Is there an option or a way to do a multi-threaded version of the bootstrap? I am using standsurv and the data is pretty big (280,000 people). It takes about...

markdanese