# static_glm

##### Static glm Fit

Method to fit a static model corresponding to a `ddhazard`

fit.
The method uses weights to ease the memory requirements. See
`get_survival_case_weights_and_data`

for details on weights.

The `parallelglm_quick`

and `parallelglm_QR`

methods are similar
to two methods used in `bam`

function in the `mgcv`

package (see
the ``use.chol``

argument or Wood et al. 2015). `parallelglm_QR`

is more stable but slower. See Golub (2013) section 5.3 for a comparison of
the Cholesky decomposition method and the QR method.

##### Usage

```
static_glm(formula, data, by, max_T, ..., id, family = "logit",
model = F, weights, risk_obj = NULL, speedglm = F,
only_coef = FALSE, mf, method_use = c("glm", "speedglm",
"parallelglm_quick", "parallelglm_QR"),
n_threads = getOption("ddhazard_max_threads"))
```

##### Arguments

- formula
`coxph`

like formula with`Surv(tstart, tstop, event)`

on the left hand site of`~`

.- data
`data.frame`

or environment containing the outcome and covariates.- by
interval length of the bins in which parameters are fixed.

- max_T
end of the last interval interval.

- ...
arguments passed to

`glm`

or`speedglm`

. If`only_coef = TRUE`

then the arguments are passed to`glm.control`

if`glm`

is used.- id
vector of ids for each row of the in the design matrix.

- family
`"logit"`

,`"cloglog"`

, or`"exponential"`

for a static equivalent model of`ddhazard`

.- model
`TRUE`

if you want to save the design matrix used in`glm`

.- weights
weights to use if e.g. a skewed sample is used.

- risk_obj
a pre-computed result from a

`get_risk_obj`

. Will be used to skip some computations.- speedglm
depreciated.

- only_coef
`TRUE`

if only coefficients should be returned. This will only call the`speedglm::speedglm.wfit`

or`glm.fit`

which will be faster.- mf
model matrix for regression. Needed when

`only_coef = TRUE`

- method_use
method to use for estimation.

`glm`

uses`glm.fit`

,`speedglm::speedglm`

uses`speedglm::speedglm.wfit`

and`parallelglm_quick`

and`parallelglm_QR`

uses a parallel`C++`

estimation method.- n_threads
number of threads to use when

`method_use`

is`"parallelglm"`

.

##### Value

The returned list from the `glm`

call or just coefficients depending on the value of `only_coef`

.

##### References

Wood, S.N., Goude, Y. & Shaw S. (2015) Generalized additive models for large datasets. Journal of the Royal Statistical Society, Series C 64(1): 139-155.

Golub, G. H., & Van Loan, C. F. (2013). Matrix computations (4th ed.). JHU Press.

##### Examples

```
# NOT RUN {
library(dynamichazard)
fit <- static_glm(
Surv(time, status == 2) ~ log(bili), pbc, id = pbc$id, max_T = 3600,
by = 50)
fit$coefficients
# }
```

*Documentation reproduced from package dynamichazard, version 0.6.6, License: GPL-2*