pool.compare.lrm: A function to compare lrm models estimated over imputed...
In cbannard/imputools: Add-ons for dealing with multiply imputed data and related models in R.
Description
Usage
Arguments
Value
Examples
View source: R/ModelComparison.R
Description
A function to compare lrm models estimated over imputed datasets
Usage
1
pool.compare.lrm(fit1,fit0,data,method = c("wald", "likelihood"))
Arguments
method
method used for comparison - wald or likelihood
model1
model0
dataset
dataset analyses are run on
Value
A list containing Dm, dfs and pvalue
Examples
1
2
3
Mh1_sampleweight_lrm <- with(imputed_mcs2, lrm(recoded_mh_d1 ~ standardised_bw + standardised_gest + sex_combine + ethnic_combine + new_langcombine + highested + standardised_wealth, weights = weight_combine))
Mh2_sampleweight_lrm <- with(imputed_mcs2, lrm(recoded_mh_d1 ~ standardised_bw + standardised_gest + sex_combine + ethnic_combine + new_langcombine + highested + standardised_wealth + teen_mum2 + ms_combine + standardised_maternal_mh + standardised_conduct + standardised_emotional,weights = weight_combine))
pool.compare.lrm(Mh2_sampleweight_lrm,Mh1_sampleweight_lrm,imputed_mcs2)
cbannard/imputools documentation built on May 13, 2020, 9:42 a.m.
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Description Usage Arguments Value Examples
View source: R/ModelComparison.R
Description
A function to compare lrm models estimated over imputed datasets
Usage
1 | pool.compare.lrm(fit1,fit0,data,method = c("wald", "likelihood"))
|
Arguments
method |
method used for comparison - wald or likelihood |
model1 |
|
model0 |
|
dataset |
dataset analyses are run on |
Value
A list containing Dm, dfs and pvalue
Examples
1 2 3 | Mh1_sampleweight_lrm <- with(imputed_mcs2, lrm(recoded_mh_d1 ~ standardised_bw + standardised_gest + sex_combine + ethnic_combine + new_langcombine + highested + standardised_wealth, weights = weight_combine))
Mh2_sampleweight_lrm <- with(imputed_mcs2, lrm(recoded_mh_d1 ~ standardised_bw + standardised_gest + sex_combine + ethnic_combine + new_langcombine + highested + standardised_wealth + teen_mum2 + ms_combine + standardised_maternal_mh + standardised_conduct + standardised_emotional,weights = weight_combine))
pool.compare.lrm(Mh2_sampleweight_lrm,Mh1_sampleweight_lrm,imputed_mcs2)
|
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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