Last updated on 2018-04-22 00:46:22 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.4-1 | 5.30 | 58.90 | 64.20 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.4-1 | 5.20 | 47.55 | 52.75 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.4-1 | 87.18 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 0.4-1 | 80.92 | NOTE | |||
| r-devel-windows-ix86+x86_64 | 0.4-1 | 13.00 | 101.00 | 114.00 | NOTE | |
| r-devel-osx-x86_64 | 0.4-1 | NOTE | ||||
| r-patched-linux-x86_64 | 0.4-1 | 5.82 | 58.79 | 64.61 | ERROR | |
| r-patched-solaris-x86 | 0.4-1 | 124.70 | NOTE | |||
| r-release-linux-x86_64 | 0.4-1 | 5.20 | 65.01 | 70.21 | NOTE | |
| r-release-windows-ix86+x86_64 | 0.4-1 | 7.00 | 104.00 | 111.00 | NOTE | |
| r-release-osx-x86_64 | 0.4-1 | NOTE | ||||
| r-oldrel-windows-ix86+x86_64 | 0.4-1 | 12.00 | 69.00 | 81.00 | NOTE |
Version: 0.4-1
Check: dependencies in R code
Result: NOTE
'library' or 'require' call to ‘boot’ which was already attached by Depends.
Please remove these calls from your code.
Packages in Depends field not imported from:
‘boot’ ‘lme4’ ‘methods’
These packages need to be imported from (in the NAMESPACE file)
for when this namespace is loaded but not attached.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-devel-osx-x86_64, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-release-osx-x86_64, r-oldrel-windows-ix86+x86_64
Version: 0.4-1
Check: S3 generic/method consistency
Result: NOTE
Found the following apparent S3 methods exported but not registered:
AIC.aodml anova.aodml anova.aodql coef.aodml coef.aodql
deviance.aodml deviance.aodql df.residual.aodml df.residual.aodql
fitted.aodml fitted.aodql logLik.aodml logLik.aodql predict.aodml
predict.aodql print.anova.aodml print.aodml print.aodql print.drs
print.gof print.iccbin print.summary.aodml print.varbin
print.wald.test residuals.aodml residuals.aodql summary.aodml
summary.aodql vcov.aodml vcov.aodql
See section ‘Registering S3 methods’ in the ‘Writing R Extensions’
manual.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64
Version: 0.4-1
Check: R code for possible problems
Result: NOTE
AIC.aodml: no visible binding for global variable ‘logLik’
anova.aodml: no visible global function definition for ‘AIC’
anova.aodml: no visible global function definition for ‘df.residual’
anova.aodml: no visible global function definition for ‘pchisq’
anova.aodql: no visible global function definition for ‘anova’
aodml: no visible global function definition for ‘update.formula’
aodml: no visible global function definition for ‘model.frame’
aodml: no visible global function definition for ‘model.response’
aodml: no visible global function definition for ‘model.offset’
aodml: no visible global function definition for ‘model.matrix’
aodml: no visible global function definition for ‘glm’
aodml: no visible global function definition for ‘coef’
aodml : m.logL: no visible global function definition for ‘dnbinom’
aodml: no visible global function definition for ‘optim’
aodml: no visible global function definition for ‘dnbinom’
aodql: no visible global function definition for ‘model.frame’
aodql: no visible global function definition for ‘model.response’
aodql: no visible global function definition for ‘glm’
aodql: no visible global function definition for ‘residuals’
aodql: no visible global function definition for ‘deviance’
aodql: no visible global function definition for ‘df.residual’
aodql: no visible global function definition for ‘logLik’
coef.aodql: no visible global function definition for ‘coef’
deviance.aodql: no visible global function definition for ‘deviance’
df.residual.aodql: no visible global function definition for
‘df.residual’
drs: no visible global function definition for ‘model.frame’
drs: no visible global function definition for ‘model.response’
drs: no visible global function definition for ‘terms’
fitted.aodql: no visible global function definition for ‘fitted’
gof: no visible global function definition for ‘deviance’
gof: no visible global function definition for ‘residuals’
gof: no visible global function definition for ‘df.residual’
iccbin: no visible binding for global variable ‘binomial’
iccbin: no visible global function definition for ‘rnorm’
iccbin: no visible global function definition for ‘var’
iccbin: no visible global function definition for ‘lm’
iccbin: no visible global function definition for ‘anova’
invlink: no visible global function definition for ‘plogis’
invlink: no visible global function definition for ‘pnorm’
link: no visible global function definition for ‘qlogis’
link: no visible global function definition for ‘qnorm’
logLik.aodql: no visible global function definition for ‘logLik’
predict.aodml: no visible global function definition for ‘model.matrix’
predict.aodml: no visible global function definition for ‘model.frame’
predict.aodml: no visible global function definition for ‘model.offset’
predict.aodml: no visible global function definition for ‘vcov’
predict.aodml: no visible global function definition for ‘dnorm’
predict.aodql: no visible global function definition for ‘predict’
print.drs: no visible global function definition for ‘pchisq’
print.gof: no visible global function definition for ‘pchisq’
print.summary.aodml: no visible global function definition for ‘AIC’
print.summary.aodml: no visible global function definition for
‘df.residual’
print.summary.aodml: no visible global function definition for
‘deviance’
residuals.aodml: no visible global function definition for ‘fitted’
residuals.aodql: no visible global function definition for ‘residuals’
splitbin : splitbin.w: no visible global function definition for
‘model.frame’
splitbin : splitbin.w: no visible global function definition for
‘model.response’
summary.aodml: no visible global function definition for ‘coef’
summary.aodml: no visible global function definition for ‘pnorm’
varbin: no visible global function definition for ‘var’
varbin: no visible global function definition for ‘boot’
varbin: no visible global function definition for ‘qnorm’
vcov.aodml: no visible global function definition for ‘coef’
vcov.aodql: no visible global function definition for ‘vcov’
wald.test: no visible global function definition for ‘pchisq’
wald.test: no visible global function definition for ‘pf’
Undefined global functions or variables:
AIC anova binomial boot coef deviance df.residual dnbinom dnorm
fitted glm lm logLik model.frame model.matrix model.offset
model.response optim pchisq pf plogis pnorm predict qlogis qnorm
residuals rnorm terms update.formula var vcov
Consider adding
importFrom("stats", "AIC", "anova", "binomial", "coef", "deviance",
"df.residual", "dnbinom", "dnorm", "fitted", "glm", "lm",
"logLik", "model.frame", "model.matrix", "model.offset",
"model.response", "optim", "pchisq", "pf", "plogis",
"pnorm", "predict", "qlogis", "qnorm", "residuals", "rnorm",
"terms", "update.formula", "var", "vcov")
to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-devel-osx-x86_64, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-release-osx-x86_64, r-oldrel-windows-ix86+x86_64
Version: 0.4-1
Check: examples
Result: ERROR
Running examples in ‘aods3-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: aodml
> ### Title: ML Estimation of Generalized Linear Models for Overdispersed
> ### Count Data
> ### Aliases: aodml print.aodml summary.aodml print.summary.aodml
> ### anova.aodml print.anova.aodml fitted.aodml residuals.aodml coef.aodml
> ### logLik.aodml deviance.aodml df.residual.aodml AIC.aodml vcov.aodml
> ### predict.aodml
> ### Keywords: regression
>
> ### ** Examples
>
>
> #------ Beta-binomial model
>
> data(orob2)
> fm1 <- aodml(cbind(m, n - m) ~ seed, data = orob2, family = "bb")
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
>
> # summaries
> fm1
$call
aodml(formula = cbind(m, n - m) ~ seed, data = orob2, family = "bb")
$family
[1] "bb"
$link
[1] "logit"
$dat
seed root n m
1 O75 BEAN 39 10
2 O75 BEAN 62 23
3 O75 BEAN 81 23
4 O75 BEAN 51 26
5 O75 BEAN 39 17
6 O75 CUCUMBER 6 5
7 O75 CUCUMBER 74 53
8 O75 CUCUMBER 72 55
9 O75 CUCUMBER 51 32
10 O75 CUCUMBER 79 46
11 O75 CUCUMBER 13 10
12 O73 BEAN 16 8
13 O73 BEAN 30 10
14 O73 BEAN 28 8
15 O73 BEAN 45 23
16 O73 BEAN 4 0
17 O73 CUCUMBER 12 3
18 O73 CUCUMBER 41 22
19 O73 CUCUMBER 30 15
20 O73 CUCUMBER 51 32
21 O73 CUCUMBER 7 3
$formula
cbind(m, n - m) ~ seed
$phi.formula
~1
<environment: 0xc796500>
$phi.scale
[1] "identity"
$X.b
(Intercept) seedO75
1 1 1
2 1 1
3 1 1
4 1 1
5 1 1
6 1 1
7 1 1
8 1 1
9 1 1
10 1 1
11 1 1
12 1 0
13 1 0
14 1 0
15 1 0
16 1 0
17 1 0
18 1 0
19 1 0
20 1 0
21 1 0
attr(,"assign")
[1] 0 1
attr(,"contrasts")
attr(,"contrasts")$seed
[1] "contr.treatment"
$X.phi
(Intercept)
1 1
2 1
3 1
4 1
5 1
6 1
7 1
8 1
9 1
10 1
11 1
12 1
13 1
14 1
15 1
16 1
17 1
18 1
19 1
20 1
21 1
attr(,"assign")
[1] 0
$resp
m
1 10 29
2 23 39
3 23 58
4 26 25
5 17 22
6 5 1
7 53 21
8 55 17
9 32 19
10 46 33
11 10 3
12 8 8
13 10 20
14 8 20
15 23 22
16 0 4
17 3 9
18 22 19
19 15 15
20 32 19
21 3 4
$offset
NULL
$param
(Intercept) seedO75 phi.(Intercept)
-0.26012090 0.41281583 0.07804472
$b
(Intercept) seedO75
-0.2601209 0.4128158
$phi
phi.(Intercept)
0.07804472
$varparam
(Intercept) seedO75 phi.(Intercept)
(Intercept) 0.0511613215 -0.051370647 -0.0006190502
seedO75 -0.0513706469 0.089589078 0.0009264330
phi.(Intercept) -0.0006190502 0.000926433 0.0009090414
$nbpar
[1] 3
$df.model
[1] 3
$df.residual
[1] 18
$logL
[1] -63.5527
$l
1 2 3 4 5 6 7 8
-4.181229 -3.741692 -4.740453 -3.067050 -2.991442 -1.893377 -3.926968 -4.290464
9 10 11 12 13 14 15 16
-3.152602 -3.470219 -2.439709 -2.132455 -2.681300 -2.781843 -3.053052 -1.976747
17 18 19 20 21
-2.128583 -3.048137 -2.661269 -3.728689 -1.465422
$lmax
1 2 3 4 5 6 7 8
-2.683520 -3.194906 -3.378448 -3.049058 -2.801886 -1.131462 -3.293978 -3.213239
9 10 11 12 13 14 15 16
-3.017682 -3.438929 -1.754747 -2.067999 -2.526883 -2.428793 -2.936460 0.000000
17 18 19 20 21
-1.720217 -2.851328 -2.581879 -3.017682 -1.465751
$iterations
function gradient
35 7
$code
[1] 0
$msg
character(0)
$singular.hessian
[1] FALSE
attr(,"class")
[1] "aodml"
> summary(fm1)
Length Class Mode
call 4 -none- call
family 1 -none- character
link 1 -none- character
dat 4 data.frame list
formula 3 formula call
phi.formula 2 formula call
phi.scale 1 -none- character
X.b 42 -none- numeric
X.phi 21 -none- numeric
resp 42 -none- numeric
offset 0 -none- NULL
param 3 -none- numeric
b 2 -none- numeric
phi 1 -none- numeric
varparam 9 -none- numeric
nbpar 1 -none- numeric
df.model 1 -none- numeric
df.residual 1 -none- numeric
logL 1 -none- numeric
l 21 -none- numeric
lmax 21 -none- numeric
iterations 2 -none- numeric
code 1 -none- numeric
msg 0 -none- character
singular.hessian 1 -none- logical
> coef(fm1)
NULL
> vcov(fm1)
Error in UseMethod("vcov") :
no applicable method for 'vcov' applied to an object of class "aodml"
Calls: vcov
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.4-1
Check: examples
Result: ERROR
Running examples in ‘aods3-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: aodml
> ### Title: ML Estimation of Generalized Linear Models for Overdispersed
> ### Count Data
> ### Aliases: aodml print.aodml summary.aodml print.summary.aodml
> ### anova.aodml print.anova.aodml fitted.aodml residuals.aodml coef.aodml
> ### logLik.aodml deviance.aodml df.residual.aodml AIC.aodml vcov.aodml
> ### predict.aodml
> ### Keywords: regression
>
> ### ** Examples
>
>
> #------ Beta-binomial model
>
> data(orob2)
> fm1 <- aodml(cbind(m, n - m) ~ seed, data = orob2, family = "bb")
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
>
> # summaries
> fm1
$call
aodml(formula = cbind(m, n - m) ~ seed, data = orob2, family = "bb")
$family
[1] "bb"
$link
[1] "logit"
$dat
seed root n m
1 O75 BEAN 39 10
2 O75 BEAN 62 23
3 O75 BEAN 81 23
4 O75 BEAN 51 26
5 O75 BEAN 39 17
6 O75 CUCUMBER 6 5
7 O75 CUCUMBER 74 53
8 O75 CUCUMBER 72 55
9 O75 CUCUMBER 51 32
10 O75 CUCUMBER 79 46
11 O75 CUCUMBER 13 10
12 O73 BEAN 16 8
13 O73 BEAN 30 10
14 O73 BEAN 28 8
15 O73 BEAN 45 23
16 O73 BEAN 4 0
17 O73 CUCUMBER 12 3
18 O73 CUCUMBER 41 22
19 O73 CUCUMBER 30 15
20 O73 CUCUMBER 51 32
21 O73 CUCUMBER 7 3
$formula
cbind(m, n - m) ~ seed
$phi.formula
~1
<environment: 0x55a6dca36068>
$phi.scale
[1] "identity"
$X.b
(Intercept) seedO75
1 1 1
2 1 1
3 1 1
4 1 1
5 1 1
6 1 1
7 1 1
8 1 1
9 1 1
10 1 1
11 1 1
12 1 0
13 1 0
14 1 0
15 1 0
16 1 0
17 1 0
18 1 0
19 1 0
20 1 0
21 1 0
attr(,"assign")
[1] 0 1
attr(,"contrasts")
attr(,"contrasts")$seed
[1] "contr.treatment"
$X.phi
(Intercept)
1 1
2 1
3 1
4 1
5 1
6 1
7 1
8 1
9 1
10 1
11 1
12 1
13 1
14 1
15 1
16 1
17 1
18 1
19 1
20 1
21 1
attr(,"assign")
[1] 0
$resp
m
1 10 29
2 23 39
3 23 58
4 26 25
5 17 22
6 5 1
7 53 21
8 55 17
9 32 19
10 46 33
11 10 3
12 8 8
13 10 20
14 8 20
15 23 22
16 0 4
17 3 9
18 22 19
19 15 15
20 32 19
21 3 4
$offset
NULL
$param
(Intercept) seedO75 phi.(Intercept)
-0.26012090 0.41281583 0.07804472
$b
(Intercept) seedO75
-0.2601209 0.4128158
$phi
phi.(Intercept)
0.07804472
$varparam
(Intercept) seedO75 phi.(Intercept)
(Intercept) 0.0511613215 -0.051370647 -0.0006190502
seedO75 -0.0513706469 0.089589078 0.0009264330
phi.(Intercept) -0.0006190502 0.000926433 0.0009090414
$nbpar
[1] 3
$df.model
[1] 3
$df.residual
[1] 18
$logL
[1] -63.5527
$l
1 2 3 4 5 6 7 8
-4.181229 -3.741692 -4.740453 -3.067050 -2.991442 -1.893377 -3.926968 -4.290464
9 10 11 12 13 14 15 16
-3.152602 -3.470219 -2.439709 -2.132455 -2.681300 -2.781843 -3.053052 -1.976747
17 18 19 20 21
-2.128583 -3.048137 -2.661269 -3.728689 -1.465422
$lmax
1 2 3 4 5 6 7 8
-2.683520 -3.194906 -3.378448 -3.049058 -2.801886 -1.131462 -3.293978 -3.213239
9 10 11 12 13 14 15 16
-3.017682 -3.438929 -1.754747 -2.067999 -2.526883 -2.428793 -2.936460 0.000000
17 18 19 20 21
-1.720217 -2.851328 -2.581879 -3.017682 -1.465751
$iterations
function gradient
35 7
$code
[1] 0
$msg
character(0)
$singular.hessian
[1] FALSE
attr(,"class")
[1] "aodml"
> summary(fm1)
Length Class Mode
call 4 -none- call
family 1 -none- character
link 1 -none- character
dat 4 data.frame list
formula 3 formula call
phi.formula 2 formula call
phi.scale 1 -none- character
X.b 42 -none- numeric
X.phi 21 -none- numeric
resp 42 -none- numeric
offset 0 -none- NULL
param 3 -none- numeric
b 2 -none- numeric
phi 1 -none- numeric
varparam 9 -none- numeric
nbpar 1 -none- numeric
df.model 1 -none- numeric
df.residual 1 -none- numeric
logL 1 -none- numeric
l 21 -none- numeric
lmax 21 -none- numeric
iterations 2 -none- numeric
code 1 -none- numeric
msg 0 -none- character
singular.hessian 1 -none- logical
> coef(fm1)
NULL
> vcov(fm1)
Error in UseMethod("vcov") :
no applicable method for 'vcov' applied to an object of class "aodml"
Calls: vcov
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.4-1
Check: examples
Result: ERROR
Running examples in ‘aods3-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: aodml
> ### Title: ML Estimation of Generalized Linear Models for Overdispersed
> ### Count Data
> ### Aliases: aodml print.aodml summary.aodml print.summary.aodml
> ### anova.aodml print.anova.aodml fitted.aodml residuals.aodml coef.aodml
> ### logLik.aodml deviance.aodml df.residual.aodml AIC.aodml vcov.aodml
> ### predict.aodml
> ### Keywords: regression
>
> ### ** Examples
>
>
> #------ Beta-binomial model
>
> data(orob2)
> fm1 <- aodml(cbind(m, n - m) ~ seed, data = orob2, family = "bb")
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
Warning in lbeta(a + m, b + n - m) : NaNs produced
Warning in lbeta(a, b) : NaNs produced
>
> # summaries
> fm1
$call
aodml(formula = cbind(m, n - m) ~ seed, data = orob2, family = "bb")
$family
[1] "bb"
$link
[1] "logit"
$dat
seed root n m
1 O75 BEAN 39 10
2 O75 BEAN 62 23
3 O75 BEAN 81 23
4 O75 BEAN 51 26
5 O75 BEAN 39 17
6 O75 CUCUMBER 6 5
7 O75 CUCUMBER 74 53
8 O75 CUCUMBER 72 55
9 O75 CUCUMBER 51 32
10 O75 CUCUMBER 79 46
11 O75 CUCUMBER 13 10
12 O73 BEAN 16 8
13 O73 BEAN 30 10
14 O73 BEAN 28 8
15 O73 BEAN 45 23
16 O73 BEAN 4 0
17 O73 CUCUMBER 12 3
18 O73 CUCUMBER 41 22
19 O73 CUCUMBER 30 15
20 O73 CUCUMBER 51 32
21 O73 CUCUMBER 7 3
$formula
cbind(m, n - m) ~ seed
$phi.formula
~1
<environment: 0x5583cf97b5c0>
$phi.scale
[1] "identity"
$X.b
(Intercept) seedO75
1 1 1
2 1 1
3 1 1
4 1 1
5 1 1
6 1 1
7 1 1
8 1 1
9 1 1
10 1 1
11 1 1
12 1 0
13 1 0
14 1 0
15 1 0
16 1 0
17 1 0
18 1 0
19 1 0
20 1 0
21 1 0
attr(,"assign")
[1] 0 1
attr(,"contrasts")
attr(,"contrasts")$seed
[1] "contr.treatment"
$X.phi
(Intercept)
1 1
2 1
3 1
4 1
5 1
6 1
7 1
8 1
9 1
10 1
11 1
12 1
13 1
14 1
15 1
16 1
17 1
18 1
19 1
20 1
21 1
attr(,"assign")
[1] 0
$resp
m
1 10 29
2 23 39
3 23 58
4 26 25
5 17 22
6 5 1
7 53 21
8 55 17
9 32 19
10 46 33
11 10 3
12 8 8
13 10 20
14 8 20
15 23 22
16 0 4
17 3 9
18 22 19
19 15 15
20 32 19
21 3 4
$offset
NULL
$param
(Intercept) seedO75 phi.(Intercept)
-0.26012090 0.41281583 0.07804472
$b
(Intercept) seedO75
-0.2601209 0.4128158
$phi
phi.(Intercept)
0.07804472
$varparam
(Intercept) seedO75 phi.(Intercept)
(Intercept) 0.0511613215 -0.051370647 -0.0006190502
seedO75 -0.0513706469 0.089589078 0.0009264330
phi.(Intercept) -0.0006190502 0.000926433 0.0009090414
$nbpar
[1] 3
$df.model
[1] 3
$df.residual
[1] 18
$logL
[1] -63.5527
$l
1 2 3 4 5 6 7 8
-4.181229 -3.741692 -4.740453 -3.067050 -2.991442 -1.893377 -3.926968 -4.290464
9 10 11 12 13 14 15 16
-3.152602 -3.470219 -2.439709 -2.132455 -2.681300 -2.781843 -3.053052 -1.976747
17 18 19 20 21
-2.128583 -3.048137 -2.661269 -3.728689 -1.465422
$lmax
1 2 3 4 5 6 7 8
-2.683520 -3.194906 -3.378448 -3.049058 -2.801886 -1.131462 -3.293978 -3.213239
9 10 11 12 13 14 15 16
-3.017682 -3.438929 -1.754747 -2.067999 -2.526883 -2.428793 -2.936460 0.000000
17 18 19 20 21
-1.720217 -2.851328 -2.581879 -3.017682 -1.465751
$iterations
function gradient
35 7
$code
[1] 0
$msg
character(0)
$singular.hessian
[1] FALSE
attr(,"class")
[1] "aodml"
> summary(fm1)
Length Class Mode
call 4 -none- call
family 1 -none- character
link 1 -none- character
dat 4 data.frame list
formula 3 formula call
phi.formula 2 formula call
phi.scale 1 -none- character
X.b 42 -none- numeric
X.phi 21 -none- numeric
resp 42 -none- numeric
offset 0 -none- NULL
param 3 -none- numeric
b 2 -none- numeric
phi 1 -none- numeric
varparam 9 -none- numeric
nbpar 1 -none- numeric
df.model 1 -none- numeric
df.residual 1 -none- numeric
logL 1 -none- numeric
l 21 -none- numeric
lmax 21 -none- numeric
iterations 2 -none- numeric
code 1 -none- numeric
msg 0 -none- character
singular.hessian 1 -none- logical
> coef(fm1)
NULL
> vcov(fm1)
Error in UseMethod("vcov") :
no applicable method for 'vcov' applied to an object of class "aodml"
Calls: vcov
Execution halted
Flavor: r-patched-linux-x86_64