Usage: |
gplmout(code,x,t,y,h,b,bv,m,stat{,opt})
|
Input: |
| code | text string, the short code for the model (e.g.
"bilo" for logit or "noid" for ordinary PLM).
|
| x | n x p matrix, the predictor variables.
|
| t | n x q matrix, the continuous predictor variables.
|
| y | n x 1 vector, the response variables.
|
| h | q x 1 vector, the bandwith.
|
| b | p x 1, estimated coefficients.
|
| bv | p x p matrix, estimated covariance matrix for coeff.
|
| m | n x 1 vector, estimated nonparametric part.
|
| stat | list, containing statistics produced by gplm
functions.
|
| opt | optional, a list with optional input.
"gplmopt" can be used to set up this parameter.
The order of the list elements is not important.
|
| opt.weights | string, type of weights. Can be "frequency"
for replication counts, or "prior" (default)
for prior weights in weighted regression.
|
| opt.wx | scalar or n x 1 vector, frequency or prior
weights. If not given, set to 1.
|
| opt.off | scalar or n x 1 vector, offset in linear predictor.
If not given, set to 0.
|
| opt.pow | scalar, power for power link. If not given, set
to 0 (logarithm).
|
| opt.nbk | scalar, extra parameter k for negative binomial
distribution. If not given, set to 1 (geometric
distribution).
|
| opt.nopic | integer, if exists and =1, the output display
is not produced.
|
| opt.name | string, name for the output. If not given, "gplmout"
is used.
|
| opt.xvars | p x 1 string vector, variable names for the output.
Note, that only up to 15 characters are used.
|
| opt.title | string, title for the output. If not given, a default
is set.
|
Output: |
| gplmOutput | or opt.name+"Output",
display, containing estimation result in the left
panel and a plot of the index x*b{+off} vs. y
(vs. y./wx for binomials) and a plot of the index
vs. the link function. |
| gplmout | or opt.name+"out",
string vector, global, containing estimation result
in the left panel as text. |