v0.5.0

• Replaced mcmcplots with coda R package.
• Function plot_study_dissimilarities:
  • Presents the range of Gower's dissimilarity values for each study in the
    network, as well as their between- and within-comparison dissimilarities
    (based on the function comp_clustering).
• Function study_perc_contrib:
  • Calculates the percentage contributions of each study to every possible
    pairwise comparison in the investigated network and returns a data-frame.
    Study percentage contributions are based on Donegan et al.,
    (2018) doi:10.1002/jrsm.1292
• Function covar_contribution_plot:
  • Returns a scatter plot of the study percentage contributions against the
    values of a continuous study-level covariate for the treatment effects of
    the basic parameters, functional parameters or both (based on the function
    study_perc_contrib).
• Function forestplot_juxtapose:
  • Provides a forest plot juxtaposing several NMA models (via the functions
    run_model and run_metareg) based on posterior treatment effects
    (including predictions) of all treatments versus a selected comparator and a
    forest plot with the corresponding SUCRA values.
• Function __heter_density_plot __:
  • Creates the density plot of two prior distributions for the between-study
    variance (log-normal and location-scale t distributions) or between-study
    standard deviation (half-normal distribution). This plot aids in deciding
    how to define the argument heter_prior in run_model to run random-effects
    network meta-analysis.
• Function inconsistency_variance_prior:
  • Calculates the hyperparameters of the log-normal distribution and
    location-scale t-distribution of the inconsistency variance in the log-odds
    ratio and standardised mean difference scales, respectively, based on
    selected empirical distributions for the between-study variance proposed by
    Turner et al. (2015) doi:10.1002/sim.6381 and Rhodes et al. (2015)
    doi:10.1016/j.jclinepi.2014.08.012. Calculations are based on Law et al.,
    (2016) doi:10.1186/s12874-016-0184-5.
• Function table_tau2_prior:
  • Returns a table with the hyperparameters of the predictive distributions
    for the between-study variance developed by Turner et al. (2015)
    doi:10.1002/sim.6381 and Rhodes et al. (2015)
    doi:10.1016/j.jclinepi.2014.08.012. This table aids in selecting the
    hyperparameters for the function heterogeneity_param_prior when
    considering an informative prior distribution for the between-study variance
    parameter to conduct random-effects network meta-analysis.