zeroGrob
(Package: multilevelPSA) :
The zero grob draws nothing and has zero size.
The zero grob draws nothing and has zero size.
● Data Source:
CranContrib
● Keywords: internal
● Alias: zeroGrob
●
0 images
|
missing.plot
(Package: multilevelPSA) :
Returns a heat map graphic representing missinging of variables grouped by
NOTE: This is an experimental function and the results may vary depending on the nature of the dataset.
● Data Source:
CranContrib
● Keywords:
● Alias: missing.plot
●
0 images
|
mlpsa.difference.plot
(Package: multilevelPSA) :
Creates a graphic summarizing the differences between treatment and comparison
Creates a graphic summarizing the differences between treatment and comparison groups within and across level two clusters.
● Data Source:
CranContrib
● Keywords:
● Alias: mlpsa.difference.plot
●
0 images
|
|
Returns the overall effects as a data frame.
● Data Source:
CranContrib
● Keywords:
● Alias: as.data.frame.covariate.balance
●
0 images
|
align.plots
(Package: multilevelPSA) :
Adapted from ggExtra package which is no longer available. This is related to
Adapted from ggExtra package which is no longer available. This is related to an experimental mlpsa plot that will combine the circular plot along with the two individual distributions.
● Data Source:
CranContrib
● Keywords:
● Alias: align.plots
●
0 images
|
covariate.balance
(Package: multilevelPSA) :
Estimate covariate effect sizes before and after propensity score adjustment.
Estimate covariate effect sizes before and after propensity score adjustment.
● Data Source:
CranContrib
● Keywords:
● Alias: covariate.balance
●
0 images
|
difftable.plot
(Package: multilevelPSA) :
This function produces a ggplot2 figure contianing the mean differences for
This function produces a ggplot2 figure contianing the mean differences for each level two, or cluster.
● Data Source:
CranContrib
● Keywords:
● Alias: difftable.plot
●
0 images
|
psrange
(Package: multilevelPSA) :
Estimates models with increasing number of comparision subjects starting from
Estimates models with increasing number of comparision subjects starting from 1:1 to using all available comparison group subjects.
● Data Source:
CranContrib
● Keywords:
● Alias: psrange
●
0 images
|
Provides a summary of a mlpsa class.
● Data Source:
CranContrib
● Keywords:
● Alias: summary.mlpsa
●
0 images
|
getStrata
(Package: multilevelPSA) :
Returns a data frame with two columns corresponding to the level 2 variable
Returns a data frame with two columns corresponding to the level 2 variable and the leaves from the conditional inference trees.
● Data Source:
CranContrib
● Keywords:
● Alias: getStrata
●
0 images
|
providing 
.