It has been only two months since I summarized my reviews of pointandclick front ends for R, and it’s already out of date! I have converted that post into a regularlyupdated article and added a plot of total features, which I repeat below. It shows the total number of features in each package, including the latest versions of BlueSky Statistics, JASP, and jamovi. The reviews which initially appeared as blog posts are now regularlyupdated pages.
New Features in JASP
Let’s take a look at some of the new features, starting with the version of JASP that was released three hours ago:

Interface adjustments
 Data panel, analysis input panel and results panel can be manipulated much more intuitively with sliders and show/hide buttons
 Changed the analysis input panel to have an overview of all opened analyses and added the possibility to change titles, to show documentation, and remove analyses
 Enhanced the navigation through the file menu; it is now possible to use arrow keys or simply hover over the buttons
 Added possibility to scale the entire application with Ctrl +, Ctrl – and Ctrl 0
 Added MANOVA
 Added Confirmatory Factor Analysis
 Added Bayesian Multinomial Test
 Included additional menu preferences to customize JASP to your needs
 Added/updated help files for most analyses
 R engine updated from 3.4.4 to 3.5.2
 Added Šidák correction for posthoc tests (AN(C)OVA)
A complete list of fixes and features is available here. JASP is available for free from their download page. My comparative review of JASP is here.
New Features in jamovi
Two of the usability features added to jamovi recently are templates and multifile input. Both are described in detail here.
Templates enable you to save all the steps in your work as a template file. Opening that file in jamovi then lets you open a new dataset and the template will recreate all the previous analyses and graphs using the new data. It provides reusability without having to depend on the R code that GUI users are trying to avoid using.
The multifile input lets you select many CSV files at once and jamovi will open and stack them all (they must contain common variable names, of course).
Other new analytic features have been added with a set of modeling modules. They’re described in detail here, and a list of some of their capability is below. You can read my full review of jamovi here, and you can download it for free here.
 OLS Regression (GLM)
 OLS ANOVA (GLM)
 OLS ANCOVA (GLM)
 Random coefficients regression (Mixed)
 Random coefficients ANOVAANCOVA (Mixed)
 Logistic regression (GZLM)
 Logistic ANOVAlike model (GZLM)
 Probit regression (GZLM)
 Probit ANOVAlike model (GZLM)
 Multinomial regression (GZLM)
 Multinomial ANOVAlike model (GZLM)
 Poisson regression (GZLM)
 Poisson ANOVAlike model (GZLM)
 Overdispersed Poisson regression (GZLM)
 Overdispersed Poisson ANOVAlike model (GZLM)
 Negative binomial regression (GZLM)
 Negative binomial ANOVAlike model (GZLM)
 Continuous and categorical independent variables
 Omnibus tests and parameter estimates
 Confidence intervals
 Simple slopes analysis
 Simple effects
 Posthoc tests
 Plots for up to threeway interactions for both categorical and continuous independent variables.
 Automatic selection of best estimation methods and degrees of freedom selection
 Type III estimation
New Features in BlueSky Statistics
The BlueSky developers have been working on adding psychometric methods (for a book that is due out soon) and support for distributions. My full review is here and you can download BlueSky Statistics for free here.
 Model Fitting: IRT: Simple Rasch Model
 Model Fitting: IRT: Simple Rasch Model (MultiFaceted)
 Model Fitting: IRT: Partial Credit Model
 Model Fitting: IRT: Partial Credit Model (MultiFaceted)
 Model Fitting: IRT: Rating Scale Model
 Model Fitting: IRT: Rating Scale Model (MultiFaceted)
 Model Statistics: IRT: ICC Plots
 Model Statistics: IRT: Item Fit
 Model Statistics: IRT: Plot PI Map
 Model Statistics: IRT: Item and Test Information
 Model Statistics: IRT: Likelihood Ratio and Beta plots
 Model Statistics: IRT: Personfit
 Distributions: Continuous: BetaProbabilities
 Distributions: Continuous: Beta Quantiles
 Distributions: Continuous: Plot Beta Distribution
 Distributions: Continuous: Sample from Beta Distribution
 Distributions: Continuous: Cauchy Probabilities
 Distributions: Continuous: Plot Cauchy Distribution
 Distributions: Continuous: Cauchy Quantiles
 Distributions: Continuous: Sample from Cauchy Distribution
 Distributions: Continuous: Sample from Cauchy Distribution
 Distributions: Continuous: Chisquared Probabilities
 Distributions: Continuous: Chisquared Quantiles
 Distributions: Continuous: Plot Chisquared Distribution
 Distributions: Continuous: Sample from Chisquared Distribution
 Distributions: Continuous: Exponential Probabilities
 Distributions: Continuous: Exponential Quantiles
 Distributions: Continuous: Plot Exponential Distribution
 Distributions: Continuous: Sample from Exponential Distribution
 Distributions: Continuous: F Probabilities
 Distributions: Continuous: F Quantiles
 Distributions: Continuous: Plot F Distribution
 Distributions: Continuous: Sample from F Distribution
 Distributions: Continuous: Gamma Probabilities
 Distributions: Continuous: Gamma Quantiles
 Distributions: Continuous: Plot Gamma Distribution
 Distributions: Continuous: Sample from Gamma Distribution
 Distributions: Continuous: Gumbel Probabilities
 Distributions: Continuous: Gumbel Quantiles
 Distributions: Continuous: Plot Gumbel Distribution
 Distributions: Continuous: Sample from Gumbel Distribution
 Distributions: Continuous: Logistic Probabilities
 Distributions: Continuous: Logistic Quantiles
 Distributions: Continuous: Plot Logistic Distribution
 Distributions: Continuous: Sample from Logistic Distribution
 Distributions: Continuous: Lognormal Probabilities
 Distributions: Continuous: Lognormal Quantiles
 Distributions: Continuous: Plot Lognormal Distribution
 Distributions: Continuous: Sample from Lognormal Distribution
 Distributions: Continuous: Normal Probabilities
 Distributions: Continuous: Normal Quantiles
 Distributions: Continuous: Plot Normal Distribution
 Distributions: Continuous: Sample from Normal Distribution
 Distributions: Continuous: t Probabilities
 Distributions: Continuous: t Quantiles
 Distributions: Continuous: Plot t Distribution
 Distributions: Continuous: Sample from t Distribution
 Distributions: Continuous: Uniform Probabilities
 Distributions: Continuous: Uniform Quantiles
 Distributions: Continuous: Plot Uniform Distribution
 Distributions: Continuous: Sample from Uniform Distribution
 Distributions: Continuous: Weibull Probabilities
 Distributions: Continuous: Weibull Quantiles
 Distributions: Continuous: Plot Weibull Distribution
 Distributions: Continuous: Sample from Weibull Distribution
 Distributions: Discrete: Binomial Probabilities
 Distributions: Discrete: Binomial Quantiles
 Distributions: Discrete: Binomial Tail Probabilities
 Distributions: Discrete: Plot Binomial Distribution
 Distributions: Discrete: Sample from Binomial Distribution
 Distributions: Discrete: Geometric Probabilities
 Distributions: Discrete: Geometric Quantiles
 Distributions: Discrete: Geometric Tail Probabilities
 Distributions: Discrete: Plot Geometric Distribution
 Distributions: Discrete: Sample from Geometric Distribution
 Distributions: Discrete: Hypergeometric Probabilities
 Distributions: Discrete: Hypergeometric Quantiles
 Distributions: Discrete: Hypergeometric Tail Probabilities
 Distributions: Discrete: Plot Hypergeometric Distribution
 Distributions: Discrete: Sample from Hypergeometric Distribution
 Distributions: Discrete: Negative Binomial Probabilities
 Distributions: Discrete: Negative Binomial Quantiles
 Distributions: Discrete: Negative Binomial Tail Probabilities
 Distributions: Discrete: Plot Negative Binomial Distribution
 Distributions: Discrete: Sample from Negative Binomial Distribution
 Distributions: Discrete: Poisson Probabilities
 Distributions: Discrete: Poisson Quantiles
 Distributions: Discrete: Poisson Tail Probabilities
 Distributions: Discrete: Plot Poisson Distribution
 Distributions: Discrete: Sample from Poisson Distribution
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