| bf_test | Calculates the Brown-Forsythe test. |
| cindex | Calculates the c-index and standard error |
| df2milist | Turns a data frame with multiply imputed data into an object of class 'milist' |
| f2chi | Converts F-values into Chi Square values |
| 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_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 |
| 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. |
| with.milist | Evaluate an Expression across a list of multiply imputed datasets |