ppmSuite
A Collection of Models that Employ Product Partition Distributions as a Prior on Partitions
v0.3.4
·
Jul 16, 2023
·
GPL
Description
Provides a suite of functions that fit models that use PPM type priors for partitions. Models include hierarchical Gaussian and probit ordinal models with a (covariate dependent) PPM. If a covariate dependent product partition model is selected, then all the options detailed in Page, G.L.; Quintana, F.A. (2018) <doi:10.1007/s11222-017-9777-z> are available. If covariate values are missing, then the approach detailed in Page, G.L.; Quintana, F.A.; Mueller, P (2020) <doi:10.1080/10618600.2021.1999824> is employed. Also included in the package is a function that fits a Gaussian likelihood spatial product partition model that is detailed in Page, G.L.; Quintana, F.A. (2016) <doi:10.1214/15-BA971>, and multivariate PPM change point models that are detailed in Quinlan, J.J.; Page, G.L.; Castro, L.M. (2023) <doi:10.1214/22-BA1344>. In addition, a function that fits a univariate or bivariate functional data model that employs a PPM or a PPMx to cluster curves based on B-spline coefficients is provided.
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13
NOTE
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
| r-devel-windows-x86_64 | NOTE |
| r-oldrel-macos-arm64 | NOTE |
| r-oldrel-macos-x86_64 | NOTE |
| r-oldrel-windows-x86_64 | NOTE |
| r-patched-linux-x86_64 | NOTE |
| r-release-linux-x86_64 | NOTE |
| r-release-macos-arm64 | NOTE |
| r-release-macos-x86_64 | NOTE |
| r-release-windows-x86_64 | NOTE |
Check details (13 non-OK)
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r-devel-linux-x86_64-debian-clang
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26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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143 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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145 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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147 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
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26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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143 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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145 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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147 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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143 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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143 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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143 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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145 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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145 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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147 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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143 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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145 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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147 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
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26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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143 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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145 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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147 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
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checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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143 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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145 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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147 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
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26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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143 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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145 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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147 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
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26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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143 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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143 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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145 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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147 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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145 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects variance parameter (sigma2*_{c_i})
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145 | \item mu - a matrix of dimension (T, N) containing MCMC iterates associated with each subjects mean parameter (mu*_{c_i}).
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147 | \item sig2 - a matrix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
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Check History
NOTE 0 OK · 13 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 8, 2026
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Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
WARNING 0 OK · 12 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE May 7, 2026
NOTE
r-devel-linux-x86_64-debian-clang
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
WARNING
r-devel-linux-x86_64-debian-gcc
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-devel-linux-x86_64-fedora-clang
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-devel-linux-x86_64-fedora-gcc
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-devel-windows-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-patched-linux-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-release-linux-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-release-macos-arm64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-release-macos-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-release-windows-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-oldrel-macos-arm64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-oldrel-macos-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-oldrel-windows-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE 0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE
r-devel-linux-x86_64-debian-clang
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-devel-linux-x86_64-debian-gcc
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-devel-linux-x86_64-fedora-clang
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-devel-linux-x86_64-fedora-gcc
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-devel-macos-arm64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-devel-windows-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-patched-linux-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-release-linux-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-release-macos-arm64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-release-macos-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-release-windows-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-oldrel-macos-arm64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-oldrel-macos-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
NOTE
r-oldrel-windows-x86_64
Rd files
checkRd: (-1) ccp_ppm.Rd:26: Lost braces; missing escapes or markup?
26 | \item{model}{Determines of model fit is such that there are p_{it}s (model=1) or
| ^
checkRd: (-1) curv
...[truncated]...
trix of dimension (T, N) containing MCMC iterates associated with each sujbects variance parameter (sigma2*_{c_i})
| ^
Dependency Network
Version History
15 tracked
new
0.3.4
Mar 10, 2026
new
0.1.0
Nov 22, 2020