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_pkgdown.yml
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/
_pkgdown.yml
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url: https://go-bayes.github.io/margot/
template:
bootstrap: 5
bslib:
# set the base font family using a Google Font
base_font: {google: "Fira Code"}
# set the font for headings
heading_font: {google: "Fira Sans"}
# set the font for code elements
code_font: {google: "Fira Code"}
# adjust the overall font size scale
font_scale: 0.75 # makes the font smaller; 1 is the default size
bg: "#ffffff" # white background
fg: "#333333" # dark gray font color for better readability
primary: "#007bff" # primary blue theme color for links, buttons, etc.
secondary: "#6c757d" # secondary color (used for muted text, etc.)
# Additional color settings for a cohesive blue theme
info: "#17a2b8" # info color (light blue)
success: "#28a745" # success color (green)
warning: "#ffc107" # warning color (yellow)
danger: "#dc3545" # danger color (red)
light: "#f8f9fa" # light color for contrasts
dark: "#343a40" # dark color for contrasts
authors:
Joseph A Bulbulia:
href: https://github.com/go-bayes
development:
version_label: default
version_tooltip: "Version"
vignette_engine: quarto
reference:
- title: "Simulate"
contents:
- run_simulations
- simulate_ate_data_with_weights
- title: "Describe Longitudinal Data"
contents:
- margot_count_dyads
- margot_count_ids
- margot_plot_boxplot
- margot_plot_boxplot_covariate
- margot_plot_discontinuity
- margot_plot_histogram
- margot_plot_response_timeline
- margot_plot_slope
- margot_plot_slope_covariate
- margot_plot_slope_covariate_batch
- margot_plot_slope_covariate_combo
- margot_summary_panel
- title: "Check assumptions"
contents:
- create_transition_matrix
- match_mi_general
- margot_make_tables
- margot_plot_categorical
- margot_plot_individual_responses
- margot_plot_shift
- margot_propensity_model_and_plots
- margot_summary_tables
- transition_table
- title: "Prepare data for models"
contents:
- create_ordered_variable
- impute_and_combine
- margot_adjust_weights
- margot_amelia_to_mice
- margot_censor
- margot_compute_gender_weights_by_wave
- margot_filter
- margot_impute_carry_forward
- margot_log_transform_vars
- margot_process_binary_vars
- margot_process_longitudinal_data
- margot_process_longitudinal_data_wider
- margot_wide
- margot_wide_impute_baseline
- margot_wide_machine
- title: "Treatment effect estimation"
contents:
- causal_contrast_engine
- causal_contrast_marginal
- double_robust_marginal
- margot_causal_forest
- margot_lmtp
- margot_multi_arm_causal_forest
- title: "Interpret and Report Results"
contents:
- margot_compare_groups
- margot_omnibus_hetero_test
- margot_interpret_marginal
- margot_interpret_policy_tree
- margot_interpret_policy_batch
- margot_interpret_qini
- margot_lmtp_evalue
- margot_lmtp_tab
- margot_model_evalue
- margot_model_tab
- margot_policy
- margot_subset_model
- margot_summary_cate_difference_gain
- title: "Visualise Causal Effect Estimates"
contents:
- margot_plot
- margot_plot_batch_rate
- margot_plot_decision_tree
- margot_plot_multi_arm
- margot_plot_policy_combo
- margot_plot_policy_tree
- margot_plot_qini
- margot_plot_rate
- title: "Utility functions"
contents:
- back_transform_logmean
- back_transform_zscore
- construct_formula
- here_read
- here_save
- here_read_qs
- here_save_qs
- lmtp_evalue_tab
- margot_log_transform_vars
- margot_plot_create_options
- margot_plot_exposure
- margot_process_binary_vars
- margot_prop_missing
- margot_save_png
- margot_size
- prepare_panel_data
- pretty_number
- read_multiple_images
- remove_numeric_attributes
- regress_with_covariates
- select_and_rename_cols
- transform_table_rownames
- title: "Simulated data"
contents:
- df_nz
- title: "Deprecated Functions"
contents:
- coloured_histogram
- coloured_histogram_sd
- coloured_histogram_shift
- coloured_histogram_quantiles
- margot_plot_hist