## confint and adjust in R [General Statistics]

Hi all,

happy new year.

I am exploring the

In fact, the

In my current models I can apply

I cannot, however, find any documentation which tells me what the options really are; the ones above are only the options I found by googling, and finding pages like this one.

I emphasize that

If I specify

Note that the adjust argument is one of the "..."'s so isn't part of the function documentation. It must be mapped out somewhere???

So... Can anyone point me to some online documentation which tells which options the

happy new year.

I am exploring the

`confint`

function in R and the oppotunities for multiplicity adjustment. In fact, the

`confint `

function allows an `adjust `

argument :In my current models I can apply

`adjust=`

e.g. `"bonferroni"`

, `"none"`

, `"sidak"`

, `"mvt"`

and `"tukey" `

(which is the default). I cannot, however, find any documentation which tells me what the options really are; the ones above are only the options I found by googling, and finding pages like this one.

`??adjust`

gets me nowhere in practice.I emphasize that

`adjust `

under `confint `

is not the same as `p.adjust `

which is documented here, but naïvely I thought the arguments would be the same. If I specify

`adjust="holm" `

or `adjust="hochberg"`

it defaults to Bonferroni in models I am looking at, so either these methods are not implemented for `confint `

or they achieve the same in my models, not sure. If I do `adjust="eat.my.shorts"`

etc then I don't get an error but just bonferroni Note that the adjust argument is one of the "..."'s so isn't part of the function documentation. It must be mapped out somewhere???

So... Can anyone point me to some online documentation which tells which options the

`adjust `

argument allows? Or can any tell me how how I could systematically look up this type of question*?***generally**—

Best regards,

ElMaestro

"(...) targeted cancer therapies will benefit fewer than 2 percent of the cancer patients they’re aimed at. That reality is often lost on consumers, who are being fed a steady diet of winning anecdotes about miracle cures." New York Times (ed.), June 9, 2018.

` if (3) 4 `

x=c("Foo", "Bar")

b=data.frame(x)

typeof(b[,1]) ##aha, integer?

b[,1]+1 ##then let me add 1

Best regards,

ElMaestro

"(...) targeted cancer therapies will benefit fewer than 2 percent of the cancer patients they’re aimed at. That reality is often lost on consumers, who are being fed a steady diet of winning anecdotes about miracle cures." New York Times (ed.), June 9, 2018.

### Complete thread:

- confint and adjust in R - ElMaestro, 2019-01-07 14:52 [General Statistics]
- confint and adjust in R - d_labes, 2019-01-07 17:02
- confint and adjust in R - ElMaestro, 2019-01-07 18:12
- confint and adjust in R - d_labes, 2019-01-07 19:19
- confint and adjust in R - ElMaestro, 2019-01-07 22:22

- confint and adjust in R - d_labes, 2019-01-07 19:19

- confint and adjust in R - ElMaestro, 2019-01-07 18:12

- confint and adjust in R - d_labes, 2019-01-07 17:02