JASP – A fresh way to do statistics

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JASP is a cross-platform software program primarily developed for Bayesian analyses. It currently utilizes more than 50 R packages and provides an intuitive & user-friendly GUI (graphical user interface). However, unfortunately the generated R code cannot be exported. This would be an important feature for future versions of JASP (in line with the open-science philosophy).

Download JASP installerJASP functions (synopsis)JASP on GitHub (open-source code)ReferencesR dependenciesOnline resources

DISCOVER_JASP_20171

JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
https://github.com/jasp-stats/jasp-desktop
210 forks.
781 stars.
9 open issues.

Recent commits:


Gronau, Q. F., Ly, A., & Wagenmakers, E.-J. (2017). Informed Bayesian t-tests. Manuscripts submitted for publication (Preprint).

Jamil, T., Ly, A., Morey, R. D., Love, J., Marsman, M., & Wagenmakers, E.-J. (2017). Default “Gunel and Dickey” Bayes factors for contingency tables. Behavior Research Methods, 49, 638-652.

Ly, A., Raj, A., Marsman, M., Etz, A., & Wagenmakers, E.-J. (2017). Bayesian reanalyses from summary statistics: A guide for academic consumers. Manuscript submitted for publication (Preprint).

Marsman, M. & Wagenmakers, E.-J. (in press). Bayesian benefits with JASP. European Journal of Developmental Psychology.

Nuzzo, R. L. (2017). An introduction to Bayesian data analysis for correlations. PM&R, 9, 1278-1282. DOI: https://doi.org/10.1016/j.pmrj.2017.11.003

Quintana, D. S., & Williams, D. R. (2017). Bayesian alternatives for common null-hypothesissignificance tests in psychiatry: A non-technicalguide using JASP. BMC Psychiatry, 2018 (18), 178. doi: 10.1186/s12888-018-1761-4. (Open Access).

Wagenmakers, E.-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, A. J., Selker, R., Gronau, Q. F., Dropmann, D., Boutin, B., Meerhoff, F., Knight, P., Raj, A., van Kesteren, E.-J., van Doorn, J., Smira, M., Epskamp, S., Etz, A., Matzke, D., de Jong, T., van den Bergh, D., Sarafoglou, A., Steingroever, H., Derks, K., Rouder, J. N., & Morey, R. D. (in press). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review (Preprint).

JASP depends on the following R packages:

Package Version Depends
BAS 1.4.7 R (>= 3.0),
BDgraph 2.41 R (>= 3.0.0), Matrix, igraph
BMS 0.3.4 R (>= 2.5)
BayesFactor 0.9.12-2 R (>= 3.0.2), coda, Matrix (>= 1.1-1)
Epi 2.10 R (>= 3.0.0), utils
Formula 1.2-2 R (>= 2.0.0), stats
GPArotation 2014.11-1 R (>= 2.0.0)
GeneNet 1.2.13 R (>= 3.0.2), corpcor (>= 1.6.8), longitudinal (>= 1.1.12),fdrtool (>= 1.2.15)
Hmisc 4.0-3 lattice, survival (>= 2.40-1), Formula, ggplot2 (>= 2.2)
IsingFit 0.3.1 R (>= 3.0.0)
IsingSampler 0.2 Rcpp (>= 0.10.4), R (>= 3.0.0)
KernSmooth 2.23-15 R (>= 2.5.0), stats
MASS 7.3-45 R (>= 3.1.0), grDevices, graphics, stats, utils
Matrix 1.2-8 R (>= 3.0.1)
MatrixModels 0.4-1 R (>= 3.0.1)
R6 2.2.2 R (>= 3.0)
RColorBrewer 1.1-2 R (>= 2.0.0)
Rcpp 0.12.13 R (>= 3.0.0)
SparseM 1.77 R (>= 2.15), methods
SuppDists 1.1-9.4 R (>= 3.3.0)
TH.data 1.0-8 R (>= 2.10.0), survival, MASS
TTR 0.23-2 NA
abind 1.4-5 R (>= 1.5.0)
acepack 1.4.1 NA
afex 0.18-0 R (>= 3.1.0), lme4 (>= 1.1-8), lsmeans (>= 2.17)
arm 1.9-3 R (>= 3.1.0), MASS, Matrix (>= 1.0), stats, lme4 (>= 1.0)
assertthat 0.2.0 NA
backports 1.1.1 R (>= 3.0.0)
base 3.3.3 NA
base64enc 0.1-3 R (>= 2.9.0)
bindr 0.1 NA
bindrcpp 0.2 NA
boot 1.3-18 R (>= 3.0.0), graphics, stats
bootnet 1.0.2 ggplot2, R (>= 3.0.0)
ca 0.70 R (>= 3.0.0)
car 2.1-5 R (>= 3.2.0)
checkmate 1.8.5 R (>= 3.0.0)
class 7.3-14 R (>= 3.0.0), stats, utils
cluster 2.0.5 R (>= 3.0.1)
cmprsk 2.2-7 R (>= 2.15.0), survival
coda 0.19-1 R (>= 2.14.0)
codetools 0.2-15 R (>= 2.1)
coin 1.2-1 R (>= 2.14.0), methods, survival
colorspace 1.3-2 R (>= 2.13.0), methods
compiler 3.3.3 NA
contfrac 1.1-11 NA
conting 1.6 R (>= 2.15.0)
corpcor 1.6.9 R (>= 3.0.2)
curl 3.0 R (>= 3.0.0)
d3Network 0.5.2.1 R (>= 3.0.0)
data.table 1.10.4-3 R (>= 3.0.0)
datasets 3.3.3 NA
deSolve 1.20 R (>= 2.15.0)
dichromat 2.0-0 R (>= 2.10), stats
digest 0.6.12 R (>= 2.4.1)
doSNOW 1.0.15 R (>= 2.5.0), foreach(>= 1.2.0), iterators(>= 1.0.0), snow(>=0.3.0), utils
dplyr 0.7.4 R (>= 3.1.2)
ellipse 0.3-8 R (>= 2.0.0),graphics,stats
elliptic 1.3-7 R (>= 2.5.0)
estimability 1.2 stats
etm 0.6-2 R (>= 2.14), survival
evaluate 0.10.1 R (>= 3.0.2)
fdrtool 1.2.15 R (>= 3.0.2)
foreach 1.4.3 R (>= 2.5.0)
foreign 0.8-67 R (>= 3.0.0)
ggm 2.3 igraph
ggplot2 2.2.1 R (>= 3.1)
glasso 1.8 NA
glmnet 2.0-13 Matrix (>= 1.0-6), utils, foreach
glue 1.2.0 R (>= 3.1)
gnm 1.0-8 R (>= 2.3.0)
grDevices 3.3.3 NA
graphics 3.3.3 NA
grid 3.3.3 NA
gridExtra 2.3 NA
gtable 0.2.0 R (>= 2.14)
gtools 3.5.0 R (>= 2.10)
highr 0.6 R (>= 3.0.2)
hmeasure 1.0 R (>= 2.10)
htmlTable 1.9 NA
htmltools 0.3.6 R (>= 2.14.1)
htmlwidgets 0.9 NA
huge 1.2.7 R (>= 3.0.0), Matrix, lattice, igraph, MASS
hypergeo 1.2-13 R (>= 3.1.0),
igraph 1.1.2 methods
irlba 2.3.1 Matrix
iterators 1.0.8 R (>= 2.5.0), utils
jpeg 0.1-8 R (>= 2.9.0)
jsonlite 1.5 methods
knitr 1.17 R (>= 3.1.0)
labeling 0.3 NA
lattice 0.20-34 R (>= 3.0.0)
latticeExtra 0.6-28 R (>= 2.10.0), lattice, RColorBrewer
lavaan 0.5-23.1097 R(>= 3.1.0)
lazyeval 0.2.1 R (>= 3.1.0)
lme4 1.1-14 R (>= 3.0.2), Matrix (>= 1.1.1), methods, stats
lmerTest 2.0-33 R (>= 3.0.0), Matrix, stats, methods, lme4 (>= 1.0)
lmtest 0.9-35 R (>= 2.10.0), stats, zoo
logspline 2.1.9 NA
longitudinal 1.1.12 R (>= 3.0.2), corpcor (>= 1.6.8)
lsmeans 2.27-2 estimability, methods, R (>= 3.2)
magrittr 1.5 NA
markdown 0.8 R (>= 2.11.1)
matrixcalc 1.0-3 R (>= 2.0.1)
metafor 2.0-0 R (>= 3.2.0), methods, Matrix
methods 3.3.3 NA
mgcv 1.8-17 R (>= 2.14.0), nlme (>= 3.1-64)
mgm 1.2-1 NA
mi 1.0 R (>= 3.0.0), methods, Matrix, stats4
mime 0.5 NA
minqa 1.2.4 NA
mitools 2.3 R (>= 2.10)
mnormt 1.5-5 R (>= 2.2.0)
modeltools 0.2-21 stats, stats4
multcomp 1.4-7 stats, graphics, mvtnorm (>= 1.0-3), survival (>= 2.39-4),TH.data (>= 1.0-2)
munsell 0.4.3 NA
mvtnorm 1.0-6 R(>= 1.9.0)
network 1.13.0 R (>= 2.10), utils
nlme 3.1-131 R (>= 3.0.2)
nloptr 1.0.4 NA
nnet 7.3-12 R (>= 2.14.0), stats, utils
numDeriv 2016.8-1 R (>= 2.11.1)
parallel 3.3.3 NA
parcor 0.2-6 MASS, glmnet, ppls, Epi, GeneNet
pbapply 1.3-3 R (>= 3.2.0)
pbivnorm 0.6.0 NA
pbkrtest 0.4-7 R (>= 3.2.3), lme4 (>= 1.1.10)
pkgconfig 2.0.1 NA
plotrix 3.6-6 NA
plyr 1.8.4 R (>= 3.1.0)
png 0.1-7 R (>= 2.9.0)
ppls 1.6-1 splines, MASS
psych 1.7.8 R (>= 2.10)
purrr 0.2.4 R (>= 3.1)
qgraph 1.4.4 R (>= 3.0.0)
quadprog 1.5-5 R (>= 2.15.0)
quantmod 0.4-11 R (>= 3.2.0), xts(>= 0.9-0), zoo, TTR(>= 0.2), methods
quantreg 5.34 R (>= 2.6), stats, SparseM
qvcalc 0.9-1 NA
relaimpo 2.2-2 R(>= 2.2.1), MASS, boot, survey, mitools, graphics
relimp 1.0-5 R (>= 2.0.0)
reshape2 1.4.2 NA
rjson 0.2.15 R (>= 3.1.0)
rlang 0.1.2 R (>= 3.1.0)
rpart 4.1-10 R (>= 2.15.0), graphics, stats, grDevices
sandwich 2.4-0 R (>= 2.10.0)
scales 0.5.0 R (>= 2.13)
sem 3.1-9 R (>= 2.14.0), stats
semTools 0.4-14 R(>= 3.0), methods, lavaan(>= 0.5-22), utils, stats, graphics
sna 2.4 R (>= 2.0.0), utils, statnet.common, network
snow 0.4-2 R (>= 2.13.1), utils
spatial 7.3-11 R (>= 3.0.0), graphics, stats, utils
splines 3.3.3 NA
statnet.common 4.0.0 NA
stats 3.3.3 NA
stats4 3.3.3 NA
stringi 1.1.5 R (>= 2.14)
stringr 1.2.0 R (>= 2.14)
survey 3.32-1 R (>= 2.16.0), grid, methods, Matrix, survival
survival 2.40-1 R (>= 2.13.0)
tcltk 3.3.3 NA
tibble 1.3.4 R (>= 3.1.0)
tidyr 0.7.2 R (>= 3.1.0)
tidyselect 0.2.2 R (>= 3.1.0)
tools 3.3.3 NA
tseries 0.10-42 R (>= 2.10.0)
utils 3.3.3 NA
vcd 1.4-3 R (>= 2.4.0), grid
vcdExtra 0.7-1 R (>= 2.10), vcd, gnm (>= 1.0.3), grid
viridis 0.4.0 R (>= 2.10), viridisLite (>= 0.2.0)
viridisLite 0.2.0 R (>= 2.10)
whisker 0.3-2 NA
xtable 1.8-2 R (>= 2.10.0)
xts 0.10-0 zoo (>= 1.7-12)
yaml 2.1.14 NA
zoo 1.8-0 R (>= 2.10.0), stats

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