R: Data and Statistical Analyses after Multiple Imputation

# Data and Statistical Analyses after Multiple Imputation

## Documentation for package ‘miceafter’ version 0.5.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bf_test | Calculates the Brown-Forsythe test.
cindex | Calculates the c-index and standard error
cor2fz | Fisher z transformation of correlation coefficient
cor_est | Calculates the correlation coefficient
df2milist | Turns a data frame with multiply imputed data into an object of class 'milist'
f2chi | Converts F-values into Chi Square values
fz2cor | Fisher z back transformation of correlation coefficient
glm_mi | Direct Pooling and model selection of Linear and Logistic regression models across multiply imputed data.
invlogit | Takes the inverse of a logit transformed value
invlogit_ci | Takes the inverse of logit transformed parameters and calculates the confidence intervals
lbpmicox | Survival data of 265 Low Back Pain Patients
lbpmilr | Data of 159 Low Back Pain Patients
lbp_orig | Dataset of 159 Low Back Pain Patients with missing values
levene_test | Calculates the Levene's test
list2milist | Turns a list object with multiply imputed datasets into an object of class 'milist'.
logit_trans | Logit transformation of parameter estimates
mids2milist | Turns a 'mice::mids' object into an object of class 'milist' to be further used by 'miceafter::with'
odds_ratio | Calculates the odds ratio (OR) and standard error.
pool_bftest | Calculates the pooled Brown-Forsythe test.
pool_cindex | Calculates the pooled C-index and Confidence intervals
pool_cor | Calculates the pooled correlation coefficient and Confidence intervals
pool_D2 | Combines the Chi Square statistics across Multiply Imputed datasets
pool_D4 | Pools the Likelihood Ratio tests across Multiply Imputed datasets ( method D4)
pool_glm | Pools and selects Linear and Logistic regression models across multiply imputed data.
pool_levenetest | Calculates the pooled Levene test.
pool_odds_ratio | Calculates the pooled odds ratio (OR) and related confidence interval.
pool_propdiff_ac | Calculates the pooled difference between proportions and standard error according to Agresti-Caffo across multiply imputed datasets.
pool_propdiff_nw | Calculates the pooled difference between proportions and confidence intervals according to Newcombe-Wilson (NW) across multiply imputed datasets.
pool_propdiff_wald | Calculates the pooled difference between proportions and standard error according to Wald across multiply imputed datasets.
pool_prop_nna | Calculates the pooled proportion and confidence intervals using an approximate Beta distribution.
pool_prop_wald | Calculates the pooled proportion and standard error according to Wald across multiply imputed datasets.
pool_prop_wilson | Calculates the pooled single proportion confidence intervals according to Wilson across multiply imputed datasets.
pool_risk_ratio | Calculates the pooled risk ratio (RR) and related confidence interval.
pool_scalar_RR | Rubin's Rules for scalar estimates
pool_t_test | Calculates the pooled t-test and Confidence intervals
propdiff_ac | Calculates the difference between proportions and standard error according to method Agresti-Caffo
propdiff_wald | Calculates the difference between proportions and standard error according to Wald
prop_nna | Calculates the posterior beta components for a single proportion
prop_wald | Calculates a single proportion and related standard error according to Wald
risk_ratio | Calculates the risk ratio (RR) and standard error.
t_test | Calculates the one, two and paired sample t-test
with.milist | Evaluate an Expression across a list of multiply imputed datasets