MEASR.INFO: Keyword Density Checker

Total words: 1886 | 2-word phrases: 507 | 3-word phrases: 542 | 4-word phrases: 549

PAGE INFO

Title	Try to keep the title under 60 characters (61 characters) Estimate Diagnostic Classification Models with Stan • measr
Description	Try to keep the meta description between 50 - 160 characters (0 characters)
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	No H1 tag on the page (0 characters)

#	Keyword	Frequency	Density
1	diagnostic classification models	2	0.37%
2	proficiency in english	2	0.37%
3	of proficiency in	2	0.37%
4	certificate of proficiency	2	0.37%
5	w jake thompson	2	0.37%
6	adding methodoptim to	1	0.18%
7	will be lost	1	0.18%
8	functionality will be	1	0.18%
9	not that some	1	0.18%
10	please not that	1	0.18%
11	however please not	1	0.18%
12	call however please	1	0.18%
13	function call however	1	0.18%
14	the function call	1	0.18%
15	to the function	1	0.18%
16	methodoptim to the	1	0.18%
17	skip to contents	1	0.18%
18	lost when using	1	0.18%
19	of mcmc by	1	0.18%
20	instead of mcmc	1	0.18%
21	optimizer instead of	1	0.18%
22	stan’s optimizer instead	1	0.18%
23	use stan’s optimizer	1	0.18%
24	can use stan’s	1	0.18%
25	we can use	1	0.18%
26	estimation we can	1	0.18%
27	quicker estimation we	1	0.18%
28	intensive for a	1	0.18%
29	computationally intensive for	1	0.18%
30	and computationally intensive	1	0.18%

#	Keyword	Frequency	Density
1	certificate of proficiency in	2	0.36%
2	of proficiency in english	2	0.36%
3	to the function call	1	0.18%
4	methodoptim to the function	1	0.18%
5	adding methodoptim to the	1	0.18%
6	instead of mcmc by	1	0.18%
7	optimizer instead of mcmc	1	0.18%
8	stan’s optimizer instead of	1	0.18%
9	use stan’s optimizer instead	1	0.18%
10	can use stan’s optimizer	1	0.18%
11	we can use stan’s	1	0.18%
12	estimation we can use	1	0.18%
13	quicker estimation we can	1	0.18%
14	and computationally intensive for	1	0.18%
15	computationally intensive for a	1	0.18%
16	time and computationally intensive	1	0.18%
17	be time and computationally	1	0.18%
18	can be time and	1	0.18%
19	which can be time	1	0.18%
20	stan which can be	1	0.18%
21	with stan which can	1	0.18%
22	monte carlo mcmc estimation	1	0.18%
23	chain monte carlo mcmc	1	0.18%
24	markov chain monte carlo	1	0.18%
25	full markov chain monte	1	0.18%
26	a full markov chain	1	0.18%
27	the function call however	1	0.18%
28	skip to contents measr	1	0.18%
29	measr uses a full	1	0.18%
30	fit criteria requires the	1	0.18%
31	we can then add	1	0.18%
32	estimated we can then	1	0.18%
33	been estimated we can	1	0.18%
34	has been estimated we	1	0.18%
35	model has been estimated	1	0.18%
36	a model has been	1	0.18%
37	once a model has	1	0.18%
38	use of mcmc librarymeasr	1	0.18%
39	the use of mcmc	1	0.18%
40	requires the use of	1	0.18%

#	URL	Whois	Check
1	https://www.wjakethompson.com/blog/measr/2024-02-measr-1.0.0/	Whois	wjakethompson.com
2	https://www.wjakethompson.com/blog/measr/2023-06-measr-0.3.1/	Whois	wjakethompson.com
3	https://www.wjakethompson.com/blog/measr/2023-04-measr-0.2.1/	Whois	wjakethompson.com
4	https://www.r-project.org/	Whois	r-project.org
5	https://mc-stan.org/	Whois	mc-stan.org
6	https://mc-stan.org/rstan/	Whois	mc-stan.org
7	https://mc-stan.org/cmdstanr/	Whois	mc-stan.org
8	https://cran.r-project.org/	Whois	r-project.org
9	https://rdrr.io/r/utils/install.packages.html	Whois	rdrr.io
10	https://github.com/wjakethompson/measr	Whois	github.com
11	https://cran.r-project.org/bin/windows/Rtools/	Whois	r-project.org
12	https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started	Whois	github.com
13	https://doi.org/10.1111/emip.12010	Whois	doi.org
14	https://rdrr.io/r/base/library.html	Whois	rdrr.io
15	https://cloud.r-project.org/package=measr	Whois	r-project.org
16	https://github.com/wjakethompson/measr/	Whois	github.com
17	https://github.com/wjakethompson/measr/issues	Whois	github.com
18	https://wjakethompson.com	Whois	wjakethompson.com
19	https://orcid.org/0000-0001-7339-0300	Whois	orcid.org
20	https://wjakethompson.com	Whois	wjakethompson.com
21	https://ies.ed.gov/funding/grantsearch/details.asp?ID=4546	Whois	ed.gov