ADVI_method             Automatic Differentiation Variational Inference
                        (ADVI)
BigFive                 Big Five Personality Traits Data
Classic_Fit             Classic fit object
Dim                     Define parameter dimensions and types
MAP_Fit                 MAP fit object
MCMC_Fit                MCMC fit object
RTMB_Fit_Base           Base class for RTMB Fit objects
RTMB_Model-class        RTMB model object
VB_Fit                  VB fit object
bayes_factor            Calculate Bayes Factor
beverage                Beverage Preference Data
conditional_effects     Calculate Conditional Effects
conditional_effects.mcmc_fit
                        Calculate conditional effects for MCMC fit
                        objects
debate                  Debate Simulation Data
distance                Euclidean distance
distributions           Probability Distributions for RTMB Models
ess_basic               Basic Effective Sample Size for a single chain
                        or pooled chains
ess_bulk                Calculate Bulk Effective Sample Size
ess_tail95              Calculate Tail Effective Sample Size (at 2.5%
                        and 97.5% quantiles)
fabs                    Smooth absolute value function
gaussian_process_lpdf   Gaussian Process Log-Density (Squared
                        Exponential Kernel)
generate_random_init    Generate Random Initial Values
inv_logit               Inverse logit function
item_curve              Calculate Item Response Curve / Category
                        Response Curve
item_curve.RTMB_Fit_Base
                        Item Response Curve for RTMB_Fit_Base
item_info               Calculate Item Information Function
item_info.RTMB_Fit_Base
                        Item Information Function for RTMB_Fit_Base
log1m                   Log of one minus x
log1m_exp               Log of one minus exponential of x
log1p_exp               Log of one plus exponential of x
log_det_chol            Log determinant of a Cholesky factor
log_mix                 Log mixture of two probabilities
log_softmax             Log-softmax function
log_sum_exp             Log-sum-exp function
log_sum_exp_matrix      Log-sum-exp function for matrices (row-wise)
logit                   Logit function
lsmeans                 Least Squares Means (Marginal Means)
make_bw_from_ydif       Make Best and Worst Responses from Best-Worst
                        Pair Indices
make_glmer_Z_matrix     Reconstruct an Observation-Level Random-Effect
                        Design Matrix
make_glmer_re_terms     Prepare GLMM Formula Components
make_init_mdu           Create Initial Values for Multidimensional
                        Unfolding
make_ydif_from_bw       Make Best-Worst Pair Indices from Best and
                        Worst Responses
map_est                 Maximum A Posteriori (MAP) Estimate
math_functions          Mathematical and Matrix Utility Functions for
                        RTMB Models
model_code              Model Code Wrapper for RTMB
parameter_types         Parameter Types and Constraints in RTMB Models
parameters_code         Code block for parameter definitions
plot.ce_rtmb            Plot method for ce_rtmb class (Base R)
plot.rtmb_lsmeans       Plot marginal means with error bars
plot_acf                Plot autocorrelation for one variable across
                        chains
plot_conditional_effects
                        Plot conditional effects
plot_dens               Plot posterior densities for MCMC samples
plot_forest             Plot parameter estimates and credible intervals
                        (Forest Plot)
plot_item_curve         Plot item/category response curves
plot_item_info          Plot item information functions
plot_lsmeans            Plot least-squares marginal means
plot_mdu                Plot Multidimensional Unfolding Configuration
plot_pairs              Plot pairs for posterior samples
plot_test_info          Plot test information function
plot_trace              Plot MCMC trace plots
print.bayes_factor      Print method for bayes_factor objects
print.bayes_factor_rtmb
                        Print method for bayes_factor_rtmb objects
print.ce_rtmb           Print method for ce_rtmb class (automatically
                        calls plot)
print.ce_simple         Print simple effects
print.summary_BayesRTMB
                        print for summary_BayesRTMB class
prior_flat              Specify a flat prior
prior_jzs               Specify a JZS (Jeffrey-Zellner-Siow) prior for
                        t-tests
prior_normal            Specify normal/exponential priors for MAP and
                        Bayesian inference
prior_rhs               Specify a Regularized Horseshoe prior for
                        continuous shrinkage
prior_ssp               Specify a Spike-and-Slab prior for variable
                        selection
prior_uniform           Specify a flat prior
prior_weak              Specify a weakly informative prior
quad_form_chol          Quadratic form using a Cholesky factor
quad_form_diag          Quadratic form with a diagonal matrix
quantile95              Calculate 95% Quantiles
r_hat                   Calculate Rank-normalized Split-R-hat
read_mcmc_csv           Restore MCMC Fit from CSV
rtmb_code               Define an RTMB Model with Stan-like Syntax
rtmb_corr               Fit a Correlation Model using RTMB
rtmb_fa                 RTMB-based Factor Analysis Wrapper
rtmb_glm                RTMB-based GLM wrapper function (no random
                        effects)
rtmb_glmer              RTMB-based GLMM wrapper function
rtmb_irt                RTMB-based IRT (Item Response Theory) Wrapper
rtmb_lm                 RTMB-based Linear Regression wrapper function
rtmb_lmer               RTMB-based Linear Mixed Model (LMM) wrapper
                        function
rtmb_loglinear          RTMB-based Log-linear analysis (Poisson
                        regression)
rtmb_lrt                Fit a Latent Rank Theory (LRT) Model
rtmb_mdu                RTMB-based Multidimensional Unfolding Wrapper
rtmb_mediation          RTMB-based Mediation Analysis Wrapper
rtmb_mixture            Mixture Model Wrapper for RTMB
rtmb_model              Create an RTMB_Model Object
rtmb_syntax             Guidelines for Writing RTMB-Compatible Code
rtmb_table              RTMB-based Contingency Table Analysis
                        (Chi-squared Test)
rtmb_ttest              RTMB-based Bayesian two-sample t-test wrapper
                        function
rtmb_wrappers           Common Features and Arguments of RTMB Wrapper
                        Functions
safe_rtmb_model         Safe RTMB model construction (with error
                        message translation)
simple_effects          Calculate Simple Effects
simple_effects.mcmc_fit
                        Simple effects for MCMC fit objects
softmax                 Softmax function
sort_loadings           Sort and display factor loadings neatly
squared_distance        Squared Euclidean distance
stz_basis               stz basis function
sum_to_zero             Sum-to-zero transformation
summary.ce_rtmb         Summary method for ce_rtmb class
test_info               Calculate Test Information Function
to_centered_matrix      Vector to centered matrix (RTMB compatible)
to_centered_tri         Vector to centered triangular matrix (RTMB
                        compatible)
to_long                 Convert Wide Data to Long Format
to_lower_tri            Vector to lower triangular matrix (RTMB
                        compatible)
to_wide                 Convert Long Data to Wide Format
training                Social Skills Training Data
transform_code          Transformed Code Wrapper for RTMB
validate_data           Pre-validation of data and parameters
