R: Model Based Treatment of Missing Data

# Model Based Treatment of Missing Data

## Documentation for package ‘mdmb’ version 1.9-22

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

mdmb-package | Model Based Treatment of Missing Data
bct_regression | Several Regression Models with Prior Distributions and Sampling Weights
bc_antitrafo | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
bc_trafo | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
coef.bct_regression | Several Regression Models with Prior Distributions and Sampling Weights
coef.fit_bct_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
coef.fit_oprobit | Ordinal Probit Models
coef.fit_t_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
coef.fit_yjt_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
coef.frm_em | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
coef.frm_fb | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
coef.logistic_regression | Several Regression Models with Prior Distributions and Sampling Weights
coef.oprobit_regression | Several Regression Models with Prior Distributions and Sampling Weights
coef.yjt_regression | Several Regression Models with Prior Distributions and Sampling Weights
data.mb | Example Datasets for 'mdmb' Package
data.mb01 | Example Datasets for 'mdmb' Package
data.mb02 | Example Datasets for 'mdmb' Package
data.mb03 | Example Datasets for 'mdmb' Package
data.mb04 | Example Datasets for 'mdmb' Package
data.mb05 | Example Datasets for 'mdmb' Package
dbct_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
doprobit | Ordinal Probit Models
dt_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
dyjt_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
eval_prior_list | Evaluates Several Prior Distributions
eval_prior_list_sumlog | Evaluates Several Prior Distributions
fit_bct_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
fit_oprobit | Ordinal Probit Models
fit_t_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
fit_yjt_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
frm | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
frm2datlist | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
frm_em | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
frm_fb | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
logistic_regression | Several Regression Models with Prior Distributions and Sampling Weights
logLik.bct_regression | Several Regression Models with Prior Distributions and Sampling Weights
logLik.fit_bct_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
logLik.fit_oprobit | Ordinal Probit Models
logLik.fit_t_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
logLik.fit_yjt_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
logLik.frm_em | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
logLik.logistic_regression | Several Regression Models with Prior Distributions and Sampling Weights
logLik.oprobit_regression | Several Regression Models with Prior Distributions and Sampling Weights
logLik.yjt_regression | Several Regression Models with Prior Distributions and Sampling Weights
mdmb | Model Based Treatment of Missing Data
offset_values_extract | Extracts Offset Values
oprobit_dist | Ordinal Probit Models
oprobit_regression | Several Regression Models with Prior Distributions and Sampling Weights
plot.frm_fb | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
predict.bct_regression | Several Regression Models with Prior Distributions and Sampling Weights
predict.logistic_regression | Several Regression Models with Prior Distributions and Sampling Weights
predict.oprobit_regression | Several Regression Models with Prior Distributions and Sampling Weights
predict.yjt_regression | Several Regression Models with Prior Distributions and Sampling Weights
rbct_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
remove_NA_data_frame | Removes Rows with Some Missing Entries in a Data Frame
rt_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
ryjt_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
summary.bct_regression | Several Regression Models with Prior Distributions and Sampling Weights
summary.fit_bct_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
summary.fit_oprobit | Ordinal Probit Models
summary.fit_t_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
summary.fit_yjt_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
summary.frm_em | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
summary.frm_fb | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
summary.logistic_regression | Several Regression Models with Prior Distributions and Sampling Weights
summary.oprobit_regression | Several Regression Models with Prior Distributions and Sampling Weights
summary.yjt_regression | Several Regression Models with Prior Distributions and Sampling Weights
vcov.bct_regression | Several Regression Models with Prior Distributions and Sampling Weights
vcov.fit_bct_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
vcov.fit_oprobit | Ordinal Probit Models
vcov.fit_t_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
vcov.fit_yjt_scaled | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
vcov.frm_em | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
vcov.frm_fb | Factored Regression Model: Generalized Linear Regression Model with Missing Covariates
vcov.logistic_regression | Several Regression Models with Prior Distributions and Sampling Weights
vcov.oprobit_regression | Several Regression Models with Prior Distributions and Sampling Weights
vcov.yjt_regression | Several Regression Models with Prior Distributions and Sampling Weights
yjt_dist | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
yjt_regression | Several Regression Models with Prior Distributions and Sampling Weights
yj_antitrafo | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations
yj_trafo | Scaled t Distribution with Yeo-Johnson and Box-Cox Transformations