MCMCm: STAR LVMs
In giuseppec/MCMCm: Latent Variable Models
Description
Usage
Arguments
Details
Value
Description
blabla
Usage
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
MCMCm(ind.form,
fixed.form = NA,
covar.form = NA, ### 3 Formeln fuer Response, Fixed Eff., Covariates
offset.form=NA,
data=parent.environment(),
factors=1,
lambda.constraints=list(),
burnin = 500,
mcmc = 1000,
thin=1,
verbose = TRUE,
seed = NA,
beta_stern = 0,
Beta_stern = 0, ## Priori fuer Param.vektor beta
gamma_stern = 0,
Gamma_stern = 0, ## Priori fuer Param.vektor gamma
v_stern = 0,
s_stern = 0, ## Priori fuer Param.vektor phi* (metrische Var.)
beta.start = 0,
gamma.start = 0, ## Startwerte fuer Param.vektoren beta und gamma
store.scores = FALSE,
store.z = FALSE,
mh=FALSE,
tune=0.10,
gm = TRUE, ## Angabe, ob Grouped Move Step 1 durchgefuehrt werden soll
DIC=FALSE,
sim = 0,
... )
Arguments
ind.form
...
fixed.form
...
covar.form
...
offset.form
...
data
...
factors
...
lambda.constraints
...
burnin
...
mcmc
...
thin
...
verbose
...
seed
...
beta_stern
...
Beta_stern
...
gamma_stern
...
Gamma_stern
...
v_stern
...
s_stern
...
beta.start
...
gamma.start
...
store.scores
...
store.z
...
mh
...
tune
...
gm
...
DIC
...
sim
...
...
Additional arguments.
Details
blabla.
Value
An mcmc object.
giuseppec/MCMCm documentation built on May 17, 2019, 6:01 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value
Description
blabla
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | MCMCm(ind.form,
fixed.form = NA,
covar.form = NA, ### 3 Formeln fuer Response, Fixed Eff., Covariates
offset.form=NA,
data=parent.environment(),
factors=1,
lambda.constraints=list(),
burnin = 500,
mcmc = 1000,
thin=1,
verbose = TRUE,
seed = NA,
beta_stern = 0,
Beta_stern = 0, ## Priori fuer Param.vektor beta
gamma_stern = 0,
Gamma_stern = 0, ## Priori fuer Param.vektor gamma
v_stern = 0,
s_stern = 0, ## Priori fuer Param.vektor phi* (metrische Var.)
beta.start = 0,
gamma.start = 0, ## Startwerte fuer Param.vektoren beta und gamma
store.scores = FALSE,
store.z = FALSE,
mh=FALSE,
tune=0.10,
gm = TRUE, ## Angabe, ob Grouped Move Step 1 durchgefuehrt werden soll
DIC=FALSE,
sim = 0,
... )
|
Arguments
ind.form |
... |
fixed.form |
... |
covar.form |
... |
offset.form |
... |
data |
... |
factors |
... |
lambda.constraints |
... |
burnin |
... |
mcmc |
... |
thin |
... |
verbose |
... |
seed |
... |
beta_stern |
... |
Beta_stern |
... |
gamma_stern |
... |
Gamma_stern |
... |
v_stern |
... |
s_stern |
... |
beta.start |
... |
gamma.start |
... |
store.scores |
... |
store.z |
... |
mh |
... |
tune |
... |
gm |
... |
DIC |
... |
sim |
... |
... |
Additional arguments. |
Details
blabla.
Value
An mcmc object.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.