Description Usage Arguments Details Value Author(s) Examples
Interfaces to gee
functions that can be used
in a pipeline implemented by magrittr
.
1 |
data |
data frame, tibble, list, ... |
... |
Other arguments passed to the corresponding interfaced function. |
Interfaces call their corresponding interfaced function.
Object returned by interfaced function.
Roberto Bertolusso
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ## Not run:
library(intubate)
library(magrittr)
library(gee)
## ntbt_gee: solve a Generalized Estimation Equation Model
data(warpbreaks)
## Original function to interface
gee(breaks ~ tension, id=wool, data=warpbreaks, corstr="exchangeable")
## The interface puts data as first parameter
ntbt_gee(warpbreaks, breaks ~ tension, id=wool, corstr="exchangeable")
## so it can be used easily in a pipeline.
warpbreaks %>%
ntbt_gee(breaks ~ tension, id=wool, corstr="exchangeable")
## End(Not run)
|
Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27
running glm to get initial regression estimate
(Intercept) tensionM tensionH
36.38889 -10.00000 -14.72222
GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA
gee S-function, version 4.13 modified 98/01/27 (1998)
Model:
Link: Identity
Variance to Mean Relation: Gaussian
Correlation Structure: Exchangeable
Call:
gee(formula = breaks ~ tension, id = wool, data = warpbreaks,
corstr = "exchangeable")
Number of observations : 54
Maximum cluster size : 27
Coefficients:
(Intercept) tensionM tensionH
36.38889 -10.00000 -14.72222
Estimated Scale Parameter: 141.1481
Number of Iterations: 1
Working Correlation[1:4,1:4]
[,1] [,2] [,3] [,4]
[1,] 1.00000000 0.02518404 0.02518404 0.02518404
[2,] 0.02518404 1.00000000 0.02518404 0.02518404
[3,] 0.02518404 0.02518404 1.00000000 0.02518404
[4,] 0.02518404 0.02518404 0.02518404 1.00000000
Returned Error Value:
[1] 0
Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27
running glm to get initial regression estimate
(Intercept) tensionM tensionH
36.38889 -10.00000 -14.72222
GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA
gee S-function, version 4.13 modified 98/01/27 (1998)
Model:
Link: Identity
Variance to Mean Relation: Gaussian
Correlation Structure: Exchangeable
Call:
gee(formula = breaks ~ tension, id = wool, data = warpbreaks,
corstr = "exchangeable")
Number of observations : 54
Maximum cluster size : 27
Coefficients:
(Intercept) tensionM tensionH
36.38889 -10.00000 -14.72222
Estimated Scale Parameter: 141.1481
Number of Iterations: 1
Working Correlation[1:4,1:4]
[,1] [,2] [,3] [,4]
[1,] 1.00000000 0.02518404 0.02518404 0.02518404
[2,] 0.02518404 1.00000000 0.02518404 0.02518404
[3,] 0.02518404 0.02518404 1.00000000 0.02518404
[4,] 0.02518404 0.02518404 0.02518404 1.00000000
Returned Error Value:
[1] 0
Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27
running glm to get initial regression estimate
(Intercept) tensionM tensionH
36.38889 -10.00000 -14.72222
GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA
gee S-function, version 4.13 modified 98/01/27 (1998)
Model:
Link: Identity
Variance to Mean Relation: Gaussian
Correlation Structure: Exchangeable
Call:
gee(formula = breaks ~ tension, id = wool, data = ., corstr = "exchangeable")
Number of observations : 54
Maximum cluster size : 27
Coefficients:
(Intercept) tensionM tensionH
36.38889 -10.00000 -14.72222
Estimated Scale Parameter: 141.1481
Number of Iterations: 1
Working Correlation[1:4,1:4]
[,1] [,2] [,3] [,4]
[1,] 1.00000000 0.02518404 0.02518404 0.02518404
[2,] 0.02518404 1.00000000 0.02518404 0.02518404
[3,] 0.02518404 0.02518404 1.00000000 0.02518404
[4,] 0.02518404 0.02518404 0.02518404 1.00000000
Returned Error Value:
[1] 0
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